SlideShare a Scribd company logo
1 of 102
Download to read offline
Designer zeolites
         Igor Rivin
      Temple University
  Department of Mathematics

All work joint with Mike Treacy (ASU)
What is a zeolite?
Zeolites (Greek, zein, "to boil"; lithos, "a stone") are hydrated aluminosilicate minerals and have a micro-
porous structure.
The term was originally coined in the 18th century by a Swedish mineralogist named
Axel Fredrik Cronstedt who observed, upon rapidly heating a natural mineral, that the stones began to
dance about as the water evaporated. Using the Greek words which mean "stone that boils," he called this
material zeolite.
We will describe what zeolites are to a mathematician shortly, but the important aspect of them for a
material scientist is that they are very porous, and that’s what is responsible for most of the uses described
below...
Summary
•   Zeolites are industrially important. There is a need for new zeolite structures.

•   Zeolite frameworks can be represented as directed, or colored, graphs, that contain
    information about site symmetry and bonded neighbors.

•   Given a space group, and number of unique T-atoms NT, all the possible graphs
    can be enumerated by a combinatorial analysis of all those site-site
    interconnections that are consistent with tetrahedral bonding.

•   Graphs can be “embedded” in real space by various methods, such as simulated
    annealing, to find the regular tetrahedral SiO2 frameworks.

•   A combinatorial explosion of graphs with increasing NT, limits the method as
    presently implemented, to NT ≤ 7 for high symmetry space groups. The percentage
    of viable frameworks drops off rapidly with increasing NT.

•   Describe the methods used and highlight the problems with imbedding.

•   Examples from high-symmetry space groups, Pm3m, P6/mmm, etc

•   Can we predict how to make hypothetical zeolites?
What are zeolites good for
•      Petrochemical industry

Synthetic zeolites are widely used as catalysts in the petrochemical industry, for
      instance in fluid catalytic cracking and hydro-cracking. Zeolites confine
      molecules in small spaces, which causes changes in their structure and
      reactivity. The hydrogen form of zeolites (prepared by ion-exchange) are
      powerful solid-state acids, and can facilitate a host of acid-catalyzed reactions,
      such as isomerisation, alkylation, and cracking. The specific activation modality
      of most zeolitic catalysts used in petrochemical applications involves quantum-
      chemical Lewis acid site reactions. Catalytic cracking uses a furnace and
      reactor. First crude oil distillation fractions are heated in the furnace and passed
      to the reactor. In the reactor the crude meets with a catalyst such as zeolite. It
      goes through this step three times, each time getting cooler. Finally it reaches a
      step known as separator. The separator collects recycled hydrogen. Then it
      goes through a fractionator and becomes the final item.
What are zeolites good for?
•      Commercial and Domestic

Zeolites are widely used as ion-exchange beds in domestic and commercial
       water purification, softening, and other applications. In chemistry, zeolites are
       used to separate molecules (only molecules of certain sizes and shapes can
       pass through), as traps for molecules so they can be analyzed.
Zeolites have the potential of providing precise and specific separation of gases
       including the removal of H2O, CO2 and SO2 from low-grade natural gas streams.
       Other separations include: noble gases, N2, O2, freon and formaldehyde.
       However at present, the true potential to improve the handling of such gases in
       this manner remains unknown.
What are zeolites good for?
•      Nuclear Industry

Zeolites have uses in advanced reprocessing methods, where their micro-porous ability
       to capture some ions while allowing others to pass freely allow many fission
       products to be efficiently removed from nuclear waste and permanently trapped.
       Equally important are the mineral properties of zeolites. Their alumino-silicate
       construction is extremely durable and resistant to radiation even in porous form.
       Additionally, once they are loaded with trapped fission products, the zeolite-
       waste combination can be hot pressed into an extremely durable ceramic form,
       closing the pores and trapping the waste in a solid stone block. This is a waste
       form factor that greatly reduces its hazard compared to conventional
       reprocessing systems.
What are zeolites good for?
•     Agriculture
In agriculture, clinoptilolite (a naturally occurring zeolite) is used as a soil
       treatment. It provides a source of slowly released potassium. If previously
       loaded with ammonium, the zeolite can serve a similar function in the slow
       release of nitrogen. Zeolites can also act as water moderators, in which
       they will absorb up to 55% of their weight in water and slowly release it
       under plant demand. This property can prevent root rot and moderate
       drought cycles.
What are zeolites good for?
•      Animal Welfare

In Concentrated Animal Growing facilities, the addition of as little as 1% of a very low
      sodium clinoptiloite was shown to improve feed conversion, reduce airborne
      ammonia up to 80%, act as a mycotoxin binder and improve bone density. See
      US Patents 4,917,045 and 6,284,232. Can be used in general odor elimination
      for all animal odors.
What are zeolites good for?
•     Medical
Zeolite-based oxygen concentrator systems are widely used to produce
       medical grade oxygen. The zeolite is used as a molecular sieve to
       create purified oxygen from air using its ability to trap impurities, in a
       process involving the absorption of undesired gases and other
       atmospheric components, leaving highly purified oxygen and up to 5%
       argon. QuikClot® brand hemostatic agent, which continues to be used
       successfully to save lives by stopping severe bleeding, contains a
       calcium loaded form of zeolite.
What are zeolites good for?
 •     Heating and refrigeration

 Zeolites can be used as solar thermal collectors and for adsorption refrigeration.
        In these applications, their high heat of adsorption and ability to hydrate
        and dehydrate while maintaining structural stability is exploited. This
        hygroscopic property coupled with an inherent exothermic (heat producing)
        reaction when transitioning from a dehydrated to a hydrated form, make
        natural zeolites useful in harvesting waste heat and solar heat energy.
What are zeolites good for?

•     Detergents

The largest single use for zeolite is the global laundry detergent market. This
       amounted to 1.44 million metric tons per year of anhydrous zeolite A in
       1992.
What are zeolites good for?
•      Construction

Synthetic zeolite is also being used as an additive in the production process of warm
      mix asphalt concrete. The development of this application started in Europe
      (Germany) in the 1990s. It helps by decreasing the temperature level during
      manufacture and laying of asphalt concrete, resulting in lower consumption of
      fossil fuels, thus releasing less carbon dioxide,aerosols and vapours. Other than
      that the usage of synthetic zeolite in hot mixed asphalt leads to easier
      compaction and to a certain degree allows cold weather paving and longer
      hauls. When added to Portland Cement as a Pozzolan, it can reduce chloride
      permeability and improve workability. It reduces weight and helps moderate
      water content while allowing for slower drying which improves break strength.
•       Aquarium keeping

What are zeolites good for?
Zeolites are marketed by pet stores for use as a filter additive in aquariums. In
       aquariums, zeolites can be used to absorb ammonia and other nitrogenous
       compounds. However, due to the high affinity of some zeolites for calcium, they
       may be less effective in hard water and may deplete calcium. Zeolite filtration is
       used in some marine aquaria to keep nutrient concentrations low for the benefit
       of corals adapted to nutrient-depleted waters.
Where and how the zeolite was formed is an important consideration for aquariums.
      Northern hemisphere natural zeolites were formed when molten lava came in
      contact with sea water, thereby 'loading' the zeolite with Na (sodium) sacrificial
      ions. These sodium ions will speciate with other ions in solution, thus the takeup
      of nitrogen in ammonia, with the release of the sodium. In southern hemisphere
      zeolites, such as found in Australia, which were formed with fresh water, thus
      the calcium uptake on formation.
Zeolite is an effective ammonia filter, but must be used with some care, especially with
        delicate tropical corals which are sensitive to water chemistry and temperature.



Space hardware testing
Zeolites can be used as a molecular sieve in cryosorption pumps for rough pumping of
       vacuum chambers which can be used to simulate space-like conditions in order
       to test hardware bound for space.



Cat litter
Zeolites Are Important for Synthesis, Refining,
        and Environmental Processes
                     Zeolite Catalyst Sales, $M, Constant $

                               1995             2000                 2005

 Chemical (1)                  180               280                  350

 Refining (2)                  650               930                 1,130

 Environmental (3)             150               410                  530
Notes
 1) Aromatics and specialty organic synthesis
 2) USY in FCC, hydrocracking, Other zeolites in FCC additives, saturation,
    isomerization and lubes
 3) VOC, automotive                                             Source: The Catalyst Group
Cumulative No. of Zeolite Patents and Publications
 (New Structures, Synthesis, Catalysis, Sorbents)/Year




1965
1970
1975
                                                   Patents




1980
                                                   Publications




1985
1990
1995
2000
                                                                  Are there Opportunities for New Structures?




2005
Why zeolite catalysts?
•   Significantly better product selectivity
•   Greater activity – leading to higher throughputs and debottlenecking.
•   Environmental compatibility
–   Catalyst disposal
–   Reduction of byproducts
•   Growth in the variety of available zeolite structures and compositions.
•   Improved understanding of diffusivity and structure – property – function
    relationships.




          Advances in zeolite catalyst technology have changed the
      nature of the refining and petrochemical processes – requiring less
     separation, less energy, smaller reactors, and often simpler process
                                 configurations
Cumene Process
                                                                     sPA
                                                                     Cumene Purity   99.0%
                                                                     Cumene Yield    95%
                                                                     Bz/Propylene    8:1
                                                                     Catalyst Life   12-18 mo.

                                                                     Zeolite
                                                                     Cumene Purity   99.97%
                                                                     Cumene Yield    99.7%
                                                                     Bz/Propylene    3:1
http://internet-mobil.na.xom.com/mobil_research/mapped/cumene.html   Catalyst Life   5 yrs +
sPA-Based Cumene Process In 1986 (US only)
• Generated 250M lbs of heavy aromatics as a cumene byproduct - put into gasoline

• Generated 5M lbs of spent SPA catalyst as solid waste
Special Handling Requirements
• SPA catalyst disposal involves drying and directed explosive charges to dislodge it from
  reactors
• Requires precise H2O addition
There are Five “Big” Zeolites
  Faujasite (FAU)                      MCM-22 (MWW)
 12-MR, 3-dimensional                 10- &12-MR, 2-dimensional




     Beta (BEA)
 12-MR, 3-dimensional


                                        ZSM-5 (MFI)
                                       12-MR, 1-dimensional
Mordenite (MOR)
10-MR, 3-dimensional




        Attests to the versatility of these materials and the
   exceptional selectivity provided by the specific crystal structure
Factors Contributing to the Predominance
              of These Five Structures

• Early discovery and development
• Scaleability and low cost of manufacture
• Early structure resolution – allows modelling
• Hydrothermal stability - regenerability
• Compositional and morphological versatility
• Understanding the underlying catalytic chemistry and implications of
  molecular transport
• Inability of other materials to match the broad selectivity advantages
  and activity of these structures
Are there Opportunities for New Structures?
                    The Answer is Yes!
Most Likely:
– Supplementing existing catalysts to tailor selectivity
– In new applications driven by changes in product demand or regulatory
  changes (e.g., benzene alkylation)
– At the intersection of petroleum refining and petrochemical manufacturing
– Where the materials provide new routes to existing processes (e.g.,
  reaction and separation)
– In specialty chemicals production where product margins can justify the
  cost of catalyst development and scale-up
– Where there are needs for processing non-conventional feedstocks (e.g.
  biomass; heavy/dirty feedstocks; natural gas)
– In advanced environmental catalysts (e.g. NOX and SOX reduction)


 However, almost all new zeolites are discovered by serendipity – by
 unpredictable synthetic methods, or as new minerals.
The number of known zeolites is
           growing
LTL Framework




Pt/ K-zeolite L converts n-hexane to benzene with high yield and efficiency
Construction of LTL Model




Construct
Cancrinite
 cages

                 Stack            Cross-connect
             Cancrinite cages   Cancrinite columns
LTL Framework
But instead…




Construct
Cancrinite
 cages

                 Stack            Cross-connect
             Cancrinite cages   Cancrinite columns
Definitely Not LTL




191_2_13
Rotated Cancrinite Columns
                                    A simple connection error produced
                                    a new and interesting structure




191_2_14                               191_2_13


                LTL                                  NOT-LTL
    Cross-linking creates 8-rings          Cross-linking creates 4-rings
      apertures are sinusoidal                apertures are smooth
      12-ring 18-ring channels                  18-ring channels
       a = 18.0 Å, c = 7.50 Å                 a = 21.4 Å, c = 7.66 Å
Defects in Zeolites
                    Represent
               New Local Topologies




Faujasite with a stacking fault

M. Audier, J, M,. Thomas, J. Klinowski,
D. A. Jefferson and L. Bursill,
J. Phys. Chem. 1982, 86, 581.             The elusive “Breck’s structure 6”
Challenge!
How many ways can two Si atoms be interconnected
in space group P6/mmm to produce regular tetrahedral
zeolitic frameworks?


•   Billions+ ? – the combinations are almost infinite.


•   A handful ? – the combinations being limited by symmetry.


It took 10 years to get an answer – there are exactly 48!
31 of which are close to regular tetrahedral.
Methods For Finding New
           Frameworks
•   Synthesis + Direct experimental methods (Single crystal, Rietveld, TEM).
                         – MFI, beta (+ many others)
•   Modification of existing structures.
                         – ALPO-8
•   Model building – trial and error.
                         – FAU framework
•   Permutation of connections between sheets, polyhedra.
                         – Many examples by J. V. Smith
•   Applying symmetry operators to secondary building units.
                         – Akporiaye & Price, Shannon
•   Distance least squares, simulated annealing.
                         – DLS-76 (Hepp Baerlocher, Meier), ZEFSA (Deem & Newsam)
•   Permutation of symmetry operators.
                         – Fischer et al. (1993) - search for low-density frameworks
•   Dense grid search.
                         – O'Keeffe & Brese (1990)
•   Symmetry-Constrained Intersite Bonding Search (SCIBS).
                         – Treacy et al. (1993, 1997, 2004), Klein (1996)
•   Polyhedral tiling.
                         – Andries & Smith (1996), Delgado-Friedrichs (1999)
The LTL framework has P6/mmm symmetry




  36 T-atoms and 72 oxygen atoms per unit cell
The LTL framework has P6/mmm symmetry




   All of the symmetry operations can be generated by mirrors
LTL Framework
 LTL fundamental region contains 2 T-atoms and 6 unique Oxygen atoms,
 and is bounded by 5 mirror planes.


                                    Each T-atom is
                                    connected to four
                                    oxygens




The LTL framework is generated by
the action of the mirror planes,
much in the same way as a
kaleidascope works.
The general site has 3
                 choices
                                           2


                                      1


• 2 must connect directly to 1, and to the top and side faces to ensure
  3-D connectivity.
• This leaves one free bond, and three connectible faces.
  Permutation over the three available bonds gives 3 new structures




          LTL
The basal mirror site has 3
              choices
                                            2       T-atom 2 is inside
                                                    the fundamental region

                                        1
• 1 must connect directly to 2.
• Two of the oxygens attached to 1 must lie on the edges defined by
  intersecting (perpendicular) mirror planes to preserve regular
  tetrahedral symmetry.
• The fourth bond to 1 is generated by reflection in the basal mirror plane.
          There are only   3 = 3.2.1 = 3 possibilities for atom 1
                           2 1.2.1
Nine topologies with T-atoms on the same sites
                    as LTL




There are exactly 48 binodal topologies in P6/mmm, 31 of which refine well
Generalizing to other space
          groups




       “Roadmap” viewgraph from 1991
Colored Graph Description –
                             LTL
Colored (or directed) graph. The “color” is the bond operator type

  Space group
  Number of unique T-atoms
  Atom site list
  Atom id operator Atom id


                                                o         o’ ’




                                                          Mirror sites o and
                                                          o’ are topologically
                                                          distinct.

Oxygen atoms are implied by the Si–Si bonds, and are therefore redundant.
Another Example – FER
Surprisingly, most of the effort is in refining the
                     graphs




                                            The effort planned assumed
                                            that the refining would be
                                            quick and easy


  Imbedding the graphs in real space – refining them – has been
  arduous, and is an ongoing struggle.

  Speed and efficiency are low.
Regular tetrahedral force
               model
This is an empirical model with lowest cost for the cubic diamond structure


                                               2       Ångstrom
                     U   = K 1 (d TT - 3.05)
                                                   3
                         + K 2 (a TTT - 1.91063)        radian




  This formula attempts to force T-atoms into a regular tetrahedral
  arrangement with TTT angles of 109.47°

   This generates reasonable approximations to zeolite frameworks.

   Predicts that cristobalite has lower energy than quartz, because real
   zeolites do not favor tetrahedral TTT angles because of the bridging
   oxygen atoms
Out of 6,471 uninodal graphs, only one was
                    new!




                                    Space group #56. Pccn.
                                    a = 8.02 Å, b = 4.43 Å, c = 8.68 Å
                                    T-atom at:
                                    x = 0.071, y = 0.126, z = 0.151
                                    T/1000 = 25.92




Out of 6,471 uninodal graphs, ~300 were plausible tetrahedral
arrangements, and only one was truly new! mmt in O'Keeffe's database
γ
            High density phase – “ −silica”
                                    Ia3
                                    FD = 26.76 T-atoms/1000Å3


                                    TD10 = 1165.0

                                    Coordination Sequence
                                    1 4 12 27 49 77 109 148 194 244 301


                                    Vertex Symbol 6.62.6.62.6.62



                                    • Related to O'Keeffe's
                                     γ –Si, bcc(8)
                                    • Post-diamond
                                      high-pressure form
                                      of carbon
206_1_170
Next steps
We have an enormous number of graphs out to NT ≤ 7, but had
succeeded only in imbedding the uninodal (NT = 1) graphs without
the oxygen atoms.

    • Find a way to efficiently imbed graphs with NT ≥ 2
      – increases the number of graphs exponentially.

    • Find a way to efficiently include the bridging oxygen atoms
      – potentially triples the degrees of freedom.


Both of these goals dramatically increase the complexity of the problem
to be solved.
Boisen-Gibbs-Bukowinski force model
M. B. Boisen, G.V. Gibbs and M.S.T. Bukowinski, Phys. Chem. Minerals (1994) 21 269 – 284
                                                                    2
                                        UBGB     = Aå (L - L0 )
                                                        O
                                                                            2
                                                 + B å (OTO - OTO0 )
                                                        T
                                                                        2
                                                 + C å (TO - TO0 )
                                                        T

                                                 + Då        å (L - L0 )(TO - TO0 )
                                                        T    O

                                                 + E        å exp(- Fd OO +G)
                                                       dOO >4•

                                   Empirical force field derived from ab-initio modelling
                                   of Si2O7, and fitting to quartz compressibility data.


                                   Most terms relate to the local T2O7 cluster.


                                   The non-codimer repulsion terms (dOO) are
                                   computationally expensive.
Stages of refinement
      Example, LTL, space group P6/mmm (191) two unique T-atoms




Place atoms at the    Refine T-atoms and     Refine T-atoms,          Refine T-atoms,
geometric center of   unit cell parameters   O-atoms and              O-atoms and
their neighbors       using “regular         unit cell parameters     unit cell using
(barycentering).      tetrahedral” forces    Using Boisen-Gibbs-      GULP (J. Gale)
Refine unit cell      on T-atoms             Bukowinski force model
using T-atoms
Refinement Method
              Parallel tempering with selective inheritance
         Parallel simulated annealing runs, with temperature swapping
                    and with elements of a genetic algorithm




               Inherited “genes”

• Temperatures are decreased, and swapped according to a Boltzmann factor
• If logjammed, parameter lists are compared, and favorable “genetic” traits
  are selected from other annealing results
Unpredictable Convergence Rates
Preconditioning the frameworks for
                  refinement
                 SiGH – Silica General Handler (S. A. Wells)




• SiGH is a symmetry-aware ‘offspring’ of GASP. It finds rapidly the
  conformations that preserve best the rigid tetrahedra.
SiGH as an efficient filter




• SiGH finds rapidly the implausible frameworks – i.e. those for which
  there is no hope of ever identifying a tetrahedral flexibility window.
SiGH speeds up the rate of framework
          discovery by a factor of ~10




• It appears that there are very few “babies in the bathwater”, but it
  seems likely that some good frameworks will be discarded inadvertently
Combinatorial Explosion
The number of graphs tends to increase exponentially with increasing n

                             N = Α × Βν
Combinatorial Explosion
The number of graphs tends to increase exponentially with increasing n


                     Pm3m (225)




       The number of viable frameworks does not increase as rapidly
       with increasing n
Spacegroup Pm3m is “productive”
                                   Pm3m, 1T- atom

                        3 out of 3 uninodal graphs refine well




                                   225_1_2
                                                                 225_1_3
225_1_1          LTA                         SOD                           KFI
          UBGB = 0.007605 eV           UBGB = 0.026605 eV         UBGB = 0.021484 eV

          UGULP = -128.504213 eV      UGULP = -128.562527 eV     UGULP = -128.382971 eV
Spacegroup Pm3m is “productive”
    12 out of 13 binodal graphs refine well




         Pm3m, 2 T- atoms
GULP evaluates stability from phonon
                   eigenvalues
  Pm3m, 2 T- atoms




  225_2_13
                                   Tetrapod of double 3-ring prisms

Some phonon eigenvalues are complex indicating that the framework is
unstable in this space group and composition.
Some construction themes are obvious
Pm3m, 3 T- atoms (with hindsight)
                                                Sodalite cages connected by
                                                chains of cubes. The chain
                                                length can be varied indefinitely
                                                UGULP = -128.1129 eV/TO2


                                                UBGB = 0.08123 eV/TO2


                                                FD = 5.83 T-atoms/1000 Å3


                                                Density = 0.5817 g.cm-3
                                               Coordination sequences
                                                 TD10 = 245.667
                                               1 4 7 8 10 17 27 35 39 40 42 53 78 110 137 154
                                               1 4 7 10 15 20 25 31 36 41 51 68 89 110 127 139
                                               1 4 9 15 20 23 24 26 33 47 67 88 104 111 112 115
225_3_8                                        Vertex symbols
                                               4.4.4.4.4.24
Parent member of the progression is sodalite   4.4.4.4.4.24
                                               4.6.4.6.4.24
Framework density tends to increase with
     increasing refinement energy

                  P6 / mmm, 3 T-atoms




659 graphs out of 1150 refined with energy ≤ 1.0 eV/TO2 (BGB)
The distribution of frameworks over energy is not uniform.
P6/mmm produces some very pretty frameworks
                                   P 6 / mmm,3 T - atoms




191_3_123




                      [001]




            [100]             [1 1 0]
Enormous channels are possible

P 6 / mmm,4 T - atoms



                                             a = 41.1Å
                                             c = 9.7 Å



                                   FD = 6.75 T-atoms/10003




191_4_1955       [001]


                                     [100]
Delicate low-density
                           structures
                           P 6 / mmm, 3 T - atoms

                                                            a = 26.5 Å
                                                            c = 7.26 Å
This representation
is cell-doubled
191_4_3295




                      [001]                  Assembly of decorated 12-rings
                                             or decorated 24-rings
                              FD = 10.88 T-atoms/10003
Likely candidate
P 6 / mmm,4 T - atoms
                                               a = 18.35Å
                                               c = 17.56 Å
                                        FD = 16.4 T-atoms/10003




                              4.4.4.6.8.12
                              4.4.4.6.6.8
                              4.4.6.6.6.6
                              4.6.4.6.6.12
191_4_5828       [001]
                         Vertex symbols
   UBGB = 0.005 eV/TO2   suggest simple
                         polyhedra
                                          Cancrinite and D8R
Higher energy structures are also
                       interesting
                           Pm3m, 3 T- atoms
   Many beautiful, but improbable frameworks emerge at higher energies




191_3_786




                     UBGB = 0.5 eV/TO2
Unembeddable frameworks are also
                   interesting
                 In ten, The smallest ring size is 10!




                                                         ten




Another structure, elv, has smallest ring size is 11. It cannot be drawn (yet!)
Our database is online and searchable




Several characterization tools have been implemented, including
• Interactive graphics
• Powder pattern simulation
• Bond lengths, angles, topology
• Pore characteristics (by Delaunay triangulation)
•   http://www.hypotheticalzeolites.net
Spheres tell us a lot about
                    zeolites




229_5_8058871
    Maximum included sphere
    Largest freesphere        Packing: He, Ne, Ar, Kr, Xe
Sphere packing
Sphere packing
What is next?
•   Extend method out to NT = 12 (ie MFI) and beyond.
    – Improved graph-filtering based on graph topology is needed.
    – Rapid graph-refinement strategies are still needed.
    – Computer cluster working on the problem.


•   Improve framework topology → microporous properties tools to help
    identify appropriate synthetic targets.

•   Implement search algorithms based on pore characteristics.

•   Can Delaunay triangulation work on a torus?

•   Solve the Apollonian problem. This will accommodate the different van der
    Waals radii of the framework atoms.

•   Implement search algorithms against powder patterns.

•   Do all ‘real’ zeolites have a flexibility window? (Thorpe, Kapko)
“Real” zeolites are flexible




     A. Sartbaeva, S. A. Wells, M. M. J. Treacy and M. F. Thorpe, The flexibility window in zeolites,
     Nature Materials 5 962–965 (2006).
A set of simple rules helps limit the
                         number
              of combinatorial possibilities




(1)   No T-atom can lie on a 6-fold axis
(2)   No T-atom, or T-atom vertex, can lie on a vertex of the fundamental region
(3)   If a T-atom lies on a face of the fundamental region, then two (and only two)
      of the T-atom vertices lie on that same face. (otherwise it is planar))
•     Connections to atoms outside the fundamental region must involve either a
      T-atom, or one of its vertices, that lies on a mirror (or on an edge defined by
      two perpendicular mirrors).
(5)   All T-atoms are connected to four other T-atoms.
(6)   Tetrahedra are denied edge- and face-sharing connectivities.
•     Each of the five faces of the fundamental region must have at least one bond
      connecting through it. (For 3-dimensional connectivity)
"γ-silica" comprises chiral space-filling
                  units
                           Ia3




                                                              206_1_170

    There are equal numbers of left- and right-handed units

           One of the TOT bond angles is ~180°
Sphere packing
Pores are characterized automatically by
      Delaunay Triangulation Methods




                                        Empty circumspheres in SOD



Delaunay triangulation identifies the empty circumspheres in an array
of points. It is a natural and convenient method for identifying and
characterizing the empty spaces (pores and channels) in zeolites.
It also allows us to estimate pore opening diameters.
Zeolites as Colored Graphs




• Frameworks are represented as graphs with four edges (bonds) from each vertex.
• All 4-connected uninodal graphs look the same – the clover-leaf shape.
• There are four distinct 4-connected binodal graphs.
• Edges (bonds) are "colored" by the crystallographic operator (and its inverse)
  that defines the connection.
• A combinatorial search is performed on all possible permutations of edge colorings.
Interthreaded Cristobalite




Two frameworks do not cross-connect
Interthreaded Δ1 cristobalite framework
                  Pn3m, No. 224




This framework exists! [Sn5S9O2] . [HN(CH3)3]2 — Parise and Ko (1995)
Interthreaded FAU framework
       Pn3m, No. 224
Coordination Sequence
• The coordination sequence for a T-atom Sk is the number of T-atoms
  in the shell that is k bond lengths away.
• Topological density TD10 can be defined simply as the sum of the first
  10 entries of the coordination sequence


                              Count T-atoms
                              on expanding shell




                                  Coordination sequence is not necessarily
         Faujasite fragment       unique to each framework.
Circuit Symbols and Vertex Symbols
• Each T-atom has 6 interbond angles
• Describe each of the six shortest loops connecting any pair of bonds
• Example FAU – has one unique T-atom
• Circuit/Vertex symbols are not necessarily unique to each framework.
Issues when atoms are not points
           Apollonian triangulation




Eight solutions exist for circles, sixteen solutions for spheres.
We believe that we have this problem solved (in principle!)
Lowest-energy 6 T-atom structure
                Pm3m, 6 T- atoms




                                UGULP = -128.5184 eV/TO2
               Clathrated assembly of sodalite cages (in a sodalitic
               arrangement), cancrinite cages double 6-ring prisms and cubes.
 225_6_22665   Modified SOD + LTA + LTL.
Family of 3D defect structures
                                       Pm3m, 6 T- atoms




   a = 41.285 Å (doubled cell)   225_6_22585                                     225_6_22665
                                                    a = 41.633 Å
   UGULP= -128.4852 eV/TO2                          UGULP = -128.5184 eV/TO2 (More stable!)

• The third end-member of this particular series, ALL CAN/D6R units, has not yet
  been located in the data (confident it is there).
• The SOD ⇐⇒ CAN/D6R transformation can occur in local pockets of 8 units at a time
Framework of ZSM-10
 Known to be in P6/mmm with 6 unique T-atoms




    There were 18.4 million graphs with 6 unique T-atoms.
    This is the one!
Visual Comparison of Powder Patterns
          Favors Model A




It is difficult to remove all extraframework K cations.
A recent Rietveld refinement by D.L Dorset confirms A as the best fit.
ZSM-10: plausible low-energy frameworks




 Two frameworks with 5-rings have even lower energy than LTL
 When refined as pure SiO2
Correlation between BGB and GULP
         framework energies is linear at low
                       energies
                P 6 / mmm, 3 T - atoms




• Some of the scatter may be related to the vagaries of simulated annealing
• The gradient is 1:6 at low energies, 1:1 at higher energies (EGULP > 0.7 eV).
Delaunay Triangulation of a set of points
The perpendicular bisectors define the Voronoi
                     cells




The edges of the Voronoi cell are equidistant from two points.
Each Voronoi cell “belongs” to one point.
The empty circumcircles reveal the empty
                   space




Each circle touches three points, but does not enclose any points.
These circles thus delineate the empty space – i.e. the pores!
Typo at a recent conference:
          Zeoltie?
      A combinatorial permutation of zeolite.




                 ZeoTile
     Is more appropriate for a polyhedral tilings
     (O. Delgado Friedrichs & M. O’Keeffe?)



                 OzElite
        J. C. H. Spence and D. J. Smith?
Cross-link defect that connects the
  interthreaded cristobalite frameworks




“Wormhole” defect that cross-connects two parallel frameworks
Cogwheels of double 3-ring prisms
                                Pm3m, 3 T- atoms




225_3_32




225_3_27
Establishing Connectedness in the General
           Case is Time-Consuming.
For connectedness, there must exist a path of bonds connecting each atom A
to its translated image A' in an adjacent unit cell.

Further, there must exist a path connecting all dissimilar atoms.


                                                  To prove that A and its image A'
                                                  are not connected can involve
                                                  (2n+1)3 unit cells, where n is
                                                  the number of unique atoms in
                                                  the unit cell.

                                                  Significant speed-up is obtained
                                                  by restricting the search to
                                                  adjacent unit cells only.

                                                  Some legitimate structures will
                                                  be overlooked.
Comparison of GULP and BGB
              Refinements
The GULP program and the Boisen-Gibbs-Bukowinski (BGB)
  Refinements produce subtle differences in frameworks




       BGB is a bonded-neighbour-only force-field
Correlation between topological density
         and framework density




  Correlation is strongest for lowest energy refinements
Comparison of two combinatorial methods
O. Delgado Friedrichs et al (Nature 400 644 (1999)) demonstrated a
combinatorial method based on tilings of polyhedra.

Since many important zeolites can be thought of as being built from
simple polyhedral units, the tiling method effectively pre-selects the
connected sub-units (tiles) based on their likelihood of forming
regular tetrahedral frameworks.

In our method, the sub-unit is the isolated T-atom. ALL possible graphs
are found for a given space group and number of unique T-atom by
permuting all possible arrangements of T-atoms on special crystallographic
sites. However, many of these graphs cannot be arranged as regular
Tetrahedral frameworks. The likely topologies (ie based on the polyhedra
implicit in the graph) are filtered out after each graph is created.

The two methods must converge on the same frameworks, but from different
starting points.
What is next?
•   The Structure Commission of the International Zeolite Association
    is planning to create a database of hypothetical zeolite frameworks
    that
    will be available to researchers on the web (perhaps by mid-2004).
    – Data of Smith, O’Keeffe/Delgado-Friedrichs, Bell/Foster, Deem, Treacy.


•   Extend method out to NT = 12 (ie MFI) and beyond.
    – Improved graph-filtering based on graph topology is needed.
    – Rapid graph-refinement strategies are needed.
    – Computer cluster working on the problem (plus Martin Foster).


•   Improved tools for cataloging frameworks (O’Keeffe leads the way)
•   Improve graphics tools for visualizing results!


•   Needed: Improved framework topology → microporous properties
    tools to help identify appropriate synthetic targets.
Outstanding issues for the database
• Solve the Apollonian problem. This will accommodate the
  different van der Waals radii of the framework atoms.

• How to handle elliptical apertures?

• Implement search algorithms based on pore characteristics.

• Implement search algorithms against powder patterns
Combinatorics of
        connections between
        crystallographic sites




There are 14 connectable sites for tetrahedra in the P6/mmm
fundamental region. The rules for interconnections depend on the site.
A Venn Diagram Framework!
           P 4 / mmm, 3 T- atoms




                                                        Tetragonal trihedron
    I4/mmm (139) 3 unique T-atoms
                                                        A 3-fold “paddle wheel”
    -128.238 eV/TO2 (from GULP)
                                                        of bent 4-rings.
1 4 8 13 22 36 52 69 86 98 112    4.42.4.62.62.261024
1 4 9 16 24 35 52 67 78 101 138   4.4.4.82.4.82
1 4 9 18 30 39 46 60 86 121 160   4.42.8.8.8.8

More Related Content

What's hot

Carbon based catalysts for oxygen reduction reaction (ORR)
Carbon based catalysts for oxygen reduction reaction (ORR) Carbon based catalysts for oxygen reduction reaction (ORR)
Carbon based catalysts for oxygen reduction reaction (ORR) Lav Kumar Kasaudhan
 
Hydrothermal &solvothermal methods jeyakiruba
Hydrothermal &solvothermal methods jeyakirubaHydrothermal &solvothermal methods jeyakiruba
Hydrothermal &solvothermal methods jeyakirubagracepaulraj
 
Semiconductor part-2
Semiconductor part-2Semiconductor part-2
Semiconductor part-2Santanu Paria
 
Zeolite and its application.pptx
Zeolite and its application.pptxZeolite and its application.pptx
Zeolite and its application.pptxDebashis Panda
 
Photocatalytic activity of TiO2
Photocatalytic activity of TiO2Photocatalytic activity of TiO2
Photocatalytic activity of TiO2Saurav Ch. Sarma
 
Green synthesis of nanoparticles brainware university
Green synthesis of nanoparticles brainware universityGreen synthesis of nanoparticles brainware university
Green synthesis of nanoparticles brainware universityBrainware University
 
Pawan Homogeneous catalyst for CO2 reduction
Pawan Homogeneous catalyst for CO2 reductionPawan Homogeneous catalyst for CO2 reduction
Pawan Homogeneous catalyst for CO2 reductionPawan Kumar
 
SPINELS,INVERSE SPINELS AND PEROVSKITES
SPINELS,INVERSE SPINELS AND PEROVSKITESSPINELS,INVERSE SPINELS AND PEROVSKITES
SPINELS,INVERSE SPINELS AND PEROVSKITESShobana Subramaniam
 
nano catalysis as a prospectus of green chemistry
nano catalysis as a prospectus of green chemistry nano catalysis as a prospectus of green chemistry
nano catalysis as a prospectus of green chemistry Ankit Grover
 
Ti o2 as photocatalyst
Ti o2  as photocatalystTi o2  as photocatalyst
Ti o2 as photocatalystRAMESWAR GOUDA
 
Industrial wastewater treatment via photocatalysis
Industrial wastewater treatment via photocatalysisIndustrial wastewater treatment via photocatalysis
Industrial wastewater treatment via photocatalysisJay Lakhani
 
Photocatalyst Principle and Application
Photocatalyst Principle and ApplicationPhotocatalyst Principle and Application
Photocatalyst Principle and ApplicationFajar Budi Laksono
 
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...Iranian Chemical Society
 
Photocatalytic Performance of TiO2 as a Catalyst
Photocatalytic Performance of TiO2 as a CatalystPhotocatalytic Performance of TiO2 as a Catalyst
Photocatalytic Performance of TiO2 as a Catalystmaamirazam
 
Chemistry of nanomaterials introduction
Chemistry of nanomaterials  introductionChemistry of nanomaterials  introduction
Chemistry of nanomaterials introductionSANEESH KUMAR N
 

What's hot (20)

Carbon based catalysts for oxygen reduction reaction (ORR)
Carbon based catalysts for oxygen reduction reaction (ORR) Carbon based catalysts for oxygen reduction reaction (ORR)
Carbon based catalysts for oxygen reduction reaction (ORR)
 
Hydrothermal &solvothermal methods jeyakiruba
Hydrothermal &solvothermal methods jeyakirubaHydrothermal &solvothermal methods jeyakiruba
Hydrothermal &solvothermal methods jeyakiruba
 
Semiconductor part-2
Semiconductor part-2Semiconductor part-2
Semiconductor part-2
 
Zeolite and its application.pptx
Zeolite and its application.pptxZeolite and its application.pptx
Zeolite and its application.pptx
 
Photocatalytic
PhotocatalyticPhotocatalytic
Photocatalytic
 
Photocatalytic activity of TiO2
Photocatalytic activity of TiO2Photocatalytic activity of TiO2
Photocatalytic activity of TiO2
 
Ionic liquids
Ionic liquidsIonic liquids
Ionic liquids
 
Green synthesis of nanoparticles brainware university
Green synthesis of nanoparticles brainware universityGreen synthesis of nanoparticles brainware university
Green synthesis of nanoparticles brainware university
 
Pawan Homogeneous catalyst for CO2 reduction
Pawan Homogeneous catalyst for CO2 reductionPawan Homogeneous catalyst for CO2 reduction
Pawan Homogeneous catalyst for CO2 reduction
 
SPINELS,INVERSE SPINELS AND PEROVSKITES
SPINELS,INVERSE SPINELS AND PEROVSKITESSPINELS,INVERSE SPINELS AND PEROVSKITES
SPINELS,INVERSE SPINELS AND PEROVSKITES
 
nano catalysis as a prospectus of green chemistry
nano catalysis as a prospectus of green chemistry nano catalysis as a prospectus of green chemistry
nano catalysis as a prospectus of green chemistry
 
Ti o2 as photocatalyst
Ti o2  as photocatalystTi o2  as photocatalyst
Ti o2 as photocatalyst
 
Industrial wastewater treatment via photocatalysis
Industrial wastewater treatment via photocatalysisIndustrial wastewater treatment via photocatalysis
Industrial wastewater treatment via photocatalysis
 
Photocatalyst Principle and Application
Photocatalyst Principle and ApplicationPhotocatalyst Principle and Application
Photocatalyst Principle and Application
 
Lecture 12
Lecture 12Lecture 12
Lecture 12
 
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...
Photocatalytic application of TiO2/SiO2-based magnetic nanocomposite (Fe3O4@S...
 
Photocatalytic Performance of TiO2 as a Catalyst
Photocatalytic Performance of TiO2 as a CatalystPhotocatalytic Performance of TiO2 as a Catalyst
Photocatalytic Performance of TiO2 as a Catalyst
 
Chemistry of nanomaterials introduction
Chemistry of nanomaterials  introductionChemistry of nanomaterials  introduction
Chemistry of nanomaterials introduction
 
10. Lead tetra acetate
10. Lead tetra acetate10. Lead tetra acetate
10. Lead tetra acetate
 
Ionic liqueds
Ionic liquedsIonic liqueds
Ionic liqueds
 

Viewers also liked

Synthesis of zeolite zsm3 from faujasite
Synthesis of zeolite zsm3 from faujasiteSynthesis of zeolite zsm3 from faujasite
Synthesis of zeolite zsm3 from faujasiteAlexander Decker
 
Zeolites in cement
Zeolites in cementZeolites in cement
Zeolites in cementDaniel Eyde
 
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...Daniel Eyde
 
synthesis of fly ash based zeolite for wastewater purification
synthesis of fly ash based zeolite for wastewater purificationsynthesis of fly ash based zeolite for wastewater purification
synthesis of fly ash based zeolite for wastewater purificationVinit Sehgal
 
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...iosrjce
 
Lime Soda Process - Softening Of Water
Lime Soda Process - Softening Of WaterLime Soda Process - Softening Of Water
Lime Soda Process - Softening Of WaterVishvaraj Chauhan
 
Catalyst & Catalysis
Catalyst & CatalysisCatalyst & Catalysis
Catalyst & CatalysisNofal Umair
 
Zeolita presentacion general agricultura
Zeolita presentacion general agriculturaZeolita presentacion general agricultura
Zeolita presentacion general agriculturakato04
 
Natural zeolite engineering a viable investment 23rd ind min congress
Natural zeolite engineering a viable investment 23rd ind min congressNatural zeolite engineering a viable investment 23rd ind min congress
Natural zeolite engineering a viable investment 23rd ind min congressDaniel Eyde
 
2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONSIacovos Vasalos
 
Catalyst in oil and gas industry: Study on hydrodesulfurization with Zeolite
Catalyst in oil and gas industry: Study on hydrodesulfurization with ZeoliteCatalyst in oil and gas industry: Study on hydrodesulfurization with Zeolite
Catalyst in oil and gas industry: Study on hydrodesulfurization with ZeoliteBernard Chung
 
Taleb interaction
Taleb interactionTaleb interaction
Taleb interactionIgor Rivin
 
Billiards talk
Billiards talkBilliards talk
Billiards talkIgor Rivin
 
Tecto 6 zeolitas
Tecto 6 zeolitasTecto 6 zeolitas
Tecto 6 zeolitasaleli21
 

Viewers also liked (20)

Zeolite Process
Zeolite ProcessZeolite Process
Zeolite Process
 
Zeolitas
ZeolitasZeolitas
Zeolitas
 
Synthesis of zeolite zsm3 from faujasite
Synthesis of zeolite zsm3 from faujasiteSynthesis of zeolite zsm3 from faujasite
Synthesis of zeolite zsm3 from faujasite
 
Zeolites in cement
Zeolites in cementZeolites in cement
Zeolites in cement
 
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...
A Review of Zeolite Based Treatment Water Systems and Thier Applicability in ...
 
synthesis of fly ash based zeolite for wastewater purification
synthesis of fly ash based zeolite for wastewater purificationsynthesis of fly ash based zeolite for wastewater purification
synthesis of fly ash based zeolite for wastewater purification
 
Mesoporous materials
Mesoporous materialsMesoporous materials
Mesoporous materials
 
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...
Preparation of zeolites by different bases with 1.5 of initial ratio Si/Al: t...
 
Vijay ppisr
Vijay ppisrVijay ppisr
Vijay ppisr
 
Lime Soda Process - Softening Of Water
Lime Soda Process - Softening Of WaterLime Soda Process - Softening Of Water
Lime Soda Process - Softening Of Water
 
Catalyst & Catalysis
Catalyst & CatalysisCatalyst & Catalysis
Catalyst & Catalysis
 
Zeolita presentacion general agricultura
Zeolita presentacion general agriculturaZeolita presentacion general agricultura
Zeolita presentacion general agricultura
 
Natural zeolite engineering a viable investment 23rd ind min congress
Natural zeolite engineering a viable investment 23rd ind min congressNatural zeolite engineering a viable investment 23rd ind min congress
Natural zeolite engineering a viable investment 23rd ind min congress
 
2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS2015 EUROPACAT ZEOLITE APPLICATIONS
2015 EUROPACAT ZEOLITE APPLICATIONS
 
Catalyst in oil and gas industry: Study on hydrodesulfurization with Zeolite
Catalyst in oil and gas industry: Study on hydrodesulfurization with ZeoliteCatalyst in oil and gas industry: Study on hydrodesulfurization with Zeolite
Catalyst in oil and gas industry: Study on hydrodesulfurization with Zeolite
 
Egyptian Islands الجزر المصرية
Egyptian Islands  الجزر المصريةEgyptian Islands  الجزر المصرية
Egyptian Islands الجزر المصرية
 
Hot topics
Hot topicsHot topics
Hot topics
 
Taleb interaction
Taleb interactionTaleb interaction
Taleb interaction
 
Billiards talk
Billiards talkBilliards talk
Billiards talk
 
Tecto 6 zeolitas
Tecto 6 zeolitasTecto 6 zeolitas
Tecto 6 zeolitas
 

Similar to Geometry, combinatorics, computation with Zeolites

Applications of Zeolites.pdf
Applications of Zeolites.pdfApplications of Zeolites.pdf
Applications of Zeolites.pdf0053NimraNisa
 
Natural zeolite-product-catalog
Natural zeolite-product-catalogNatural zeolite-product-catalog
Natural zeolite-product-catalogD&W Corporation
 
academic journal
academic journalacademic journal
academic journalrikaseorika
 
green chemistry catalysis
green chemistry catalysisgreen chemistry catalysis
green chemistry catalysisirine32
 
11.application of appopolite in adsorption of heavy metals (co and ni) from w...
11.application of appopolite in adsorption of heavy metals (co and ni) from w...11.application of appopolite in adsorption of heavy metals (co and ni) from w...
11.application of appopolite in adsorption of heavy metals (co and ni) from w...Alexander Decker
 
Application of appopolite in adsorption of heavy metals (co and ni) from wast...
Application of appopolite in adsorption of heavy metals (co and ni) from wast...Application of appopolite in adsorption of heavy metals (co and ni) from wast...
Application of appopolite in adsorption of heavy metals (co and ni) from wast...Alexander Decker
 
Marina_Trgo_lecture for zeolite and application
Marina_Trgo_lecture for zeolite and applicationMarina_Trgo_lecture for zeolite and application
Marina_Trgo_lecture for zeolite and applicationMohammad Khan
 
Zeolite Market.pdf
Zeolite Market.pdfZeolite Market.pdf
Zeolite Market.pdfAkshayGorde8
 
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...IRJET Journal
 
Catalyst preparation methods
Catalyst preparation methodsCatalyst preparation methods
Catalyst preparation methods9495094029
 
alkalimetals-230627195036-16395e02.pdf
alkalimetals-230627195036-16395e02.pdfalkalimetals-230627195036-16395e02.pdf
alkalimetals-230627195036-16395e02.pdfSilentCat6
 
Final_Yash_2014A1PS632H
Final_Yash_2014A1PS632HFinal_Yash_2014A1PS632H
Final_Yash_2014A1PS632HYASH LATA
 
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...IJMREMJournal
 
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...IRJET Journal
 
Removal Of Phenol From Aqueous Solution Using Duolite A 171
Removal Of Phenol From Aqueous Solution Using Duolite A 171Removal Of Phenol From Aqueous Solution Using Duolite A 171
Removal Of Phenol From Aqueous Solution Using Duolite A 171Stacey Cruz
 
The chemical industry
The chemical industryThe chemical industry
The chemical industrySiyavula
 

Similar to Geometry, combinatorics, computation with Zeolites (20)

Applications of Zeolites.pdf
Applications of Zeolites.pdfApplications of Zeolites.pdf
Applications of Zeolites.pdf
 
Natural zeolite-product-catalog
Natural zeolite-product-catalogNatural zeolite-product-catalog
Natural zeolite-product-catalog
 
academic journal
academic journalacademic journal
academic journal
 
green chemistry catalysis
green chemistry catalysisgreen chemistry catalysis
green chemistry catalysis
 
11.application of appopolite in adsorption of heavy metals (co and ni) from w...
11.application of appopolite in adsorption of heavy metals (co and ni) from w...11.application of appopolite in adsorption of heavy metals (co and ni) from w...
11.application of appopolite in adsorption of heavy metals (co and ni) from w...
 
Application of appopolite in adsorption of heavy metals (co and ni) from wast...
Application of appopolite in adsorption of heavy metals (co and ni) from wast...Application of appopolite in adsorption of heavy metals (co and ni) from wast...
Application of appopolite in adsorption of heavy metals (co and ni) from wast...
 
Marina_Trgo_lecture for zeolite and application
Marina_Trgo_lecture for zeolite and applicationMarina_Trgo_lecture for zeolite and application
Marina_Trgo_lecture for zeolite and application
 
Zeolite Market.pdf
Zeolite Market.pdfZeolite Market.pdf
Zeolite Market.pdf
 
First paper
First paperFirst paper
First paper
 
Colloid
ColloidColloid
Colloid
 
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...
A REVIEW BASED ON DEVELOPMENT OF FLY ASH BASED GEOPOLYMER BINDER ACTIVATED IN...
 
Catalyst preparation methods
Catalyst preparation methodsCatalyst preparation methods
Catalyst preparation methods
 
ALKALI METALS.pptx
ALKALI METALS.pptxALKALI METALS.pptx
ALKALI METALS.pptx
 
alkalimetals-230627195036-16395e02.pdf
alkalimetals-230627195036-16395e02.pdfalkalimetals-230627195036-16395e02.pdf
alkalimetals-230627195036-16395e02.pdf
 
Final_Yash_2014A1PS632H
Final_Yash_2014A1PS632HFinal_Yash_2014A1PS632H
Final_Yash_2014A1PS632H
 
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...
Synthesis of Faujasite Zeolite (Z) For Adsorption of Cationic Dye from Textil...
 
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...
An Investigational Research on Heat Resisting Roof System by Using Silicon Ae...
 
Removal Of Phenol From Aqueous Solution Using Duolite A 171
Removal Of Phenol From Aqueous Solution Using Duolite A 171Removal Of Phenol From Aqueous Solution Using Duolite A 171
Removal Of Phenol From Aqueous Solution Using Duolite A 171
 
The chemical industry
The chemical industryThe chemical industry
The chemical industry
 
Silicates and allied products
Silicates and allied productsSilicates and allied products
Silicates and allied products
 

More from Igor Rivin

Options: a cynical boy's guide
Options: a cynical boy's guideOptions: a cynical boy's guide
Options: a cynical boy's guideIgor Rivin
 
Finite mathematics
Finite mathematicsFinite mathematics
Finite mathematicsIgor Rivin
 
Computing with matrix groups, or "how dense is dense"
Computing with matrix groups, or "how dense is dense"Computing with matrix groups, or "how dense is dense"
Computing with matrix groups, or "how dense is dense"Igor Rivin
 
Ike's nightmare
Ike's nightmareIke's nightmare
Ike's nightmareIgor Rivin
 
An up to date resume.
An up to date resume.An up to date resume.
An up to date resume.Igor Rivin
 
Bursting bubbles or what recovery?
Bursting bubbles or what recovery?Bursting bubbles or what recovery?
Bursting bubbles or what recovery?Igor Rivin
 
Random 3-manifolds
Random 3-manifoldsRandom 3-manifolds
Random 3-manifoldsIgor Rivin
 
Random 3-manifolds
Random 3-manifoldsRandom 3-manifolds
Random 3-manifoldsIgor Rivin
 
Talk at Quantopian.com quant finance meetup.
Talk at Quantopian.com quant finance meetup.Talk at Quantopian.com quant finance meetup.
Talk at Quantopian.com quant finance meetup.Igor Rivin
 
Bms friday Colloquium
Bms friday ColloquiumBms friday Colloquium
Bms friday ColloquiumIgor Rivin
 
Gtc 2010 py_cula_better
Gtc 2010 py_cula_betterGtc 2010 py_cula_better
Gtc 2010 py_cula_betterIgor Rivin
 
Asymptotic geometry of convex sets
Asymptotic geometry of convex setsAsymptotic geometry of convex sets
Asymptotic geometry of convex setsIgor Rivin
 
BMS scolloquium
BMS scolloquiumBMS scolloquium
BMS scolloquiumIgor Rivin
 
Generic properties of infinite groups
Generic properties of infinite groupsGeneric properties of infinite groups
Generic properties of infinite groupsIgor Rivin
 
Conformal matching
Conformal matchingConformal matching
Conformal matchingIgor Rivin
 

More from Igor Rivin (17)

Options: a cynical boy's guide
Options: a cynical boy's guideOptions: a cynical boy's guide
Options: a cynical boy's guide
 
Montreal
MontrealMontreal
Montreal
 
Finite mathematics
Finite mathematicsFinite mathematics
Finite mathematics
 
Computing with matrix groups, or "how dense is dense"
Computing with matrix groups, or "how dense is dense"Computing with matrix groups, or "how dense is dense"
Computing with matrix groups, or "how dense is dense"
 
Standrewstalk
StandrewstalkStandrewstalk
Standrewstalk
 
Ike's nightmare
Ike's nightmareIke's nightmare
Ike's nightmare
 
An up to date resume.
An up to date resume.An up to date resume.
An up to date resume.
 
Bursting bubbles or what recovery?
Bursting bubbles or what recovery?Bursting bubbles or what recovery?
Bursting bubbles or what recovery?
 
Random 3-manifolds
Random 3-manifoldsRandom 3-manifolds
Random 3-manifolds
 
Random 3-manifolds
Random 3-manifoldsRandom 3-manifolds
Random 3-manifolds
 
Talk at Quantopian.com quant finance meetup.
Talk at Quantopian.com quant finance meetup.Talk at Quantopian.com quant finance meetup.
Talk at Quantopian.com quant finance meetup.
 
Bms friday Colloquium
Bms friday ColloquiumBms friday Colloquium
Bms friday Colloquium
 
Gtc 2010 py_cula_better
Gtc 2010 py_cula_betterGtc 2010 py_cula_better
Gtc 2010 py_cula_better
 
Asymptotic geometry of convex sets
Asymptotic geometry of convex setsAsymptotic geometry of convex sets
Asymptotic geometry of convex sets
 
BMS scolloquium
BMS scolloquiumBMS scolloquium
BMS scolloquium
 
Generic properties of infinite groups
Generic properties of infinite groupsGeneric properties of infinite groups
Generic properties of infinite groups
 
Conformal matching
Conformal matchingConformal matching
Conformal matching
 

Recently uploaded

MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesManik S Magar
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality AssuranceInflectra
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integrationmarketing932765
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observabilityitnewsafrica
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Kaya Weers
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...panagenda
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024TopCSSGallery
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesThousandEyes
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentPim van der Noll
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...BookNet Canada
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructureitnewsafrica
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsYoss Cohen
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfIngrid Airi González
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Jeffrey Haguewood
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityIES VE
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentMahmoud Rabie
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkPixlogix Infotech
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesBernd Ruecker
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesThousandEyes
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxfnnc6jmgwh
 

Recently uploaded (20)

MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotesMuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
MuleSoft Online Meetup Group - B2B Crash Course: Release SparkNotes
 
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance[Webinar] SpiraTest - Setting New Standards in Quality Assurance
[Webinar] SpiraTest - Setting New Standards in Quality Assurance
 
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS:  6 Ways to Automate Your Data IntegrationBridging Between CAD & GIS:  6 Ways to Automate Your Data Integration
Bridging Between CAD & GIS: 6 Ways to Automate Your Data Integration
 
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security ObservabilityGlenn Lazarus- Why Your Observability Strategy Needs Security Observability
Glenn Lazarus- Why Your Observability Strategy Needs Security Observability
 
Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)Design pattern talk by Kaya Weers - 2024 (v2)
Design pattern talk by Kaya Weers - 2024 (v2)
 
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
Why device, WIFI, and ISP insights are crucial to supporting remote Microsoft...
 
Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024Top 10 Hubspot Development Companies in 2024
Top 10 Hubspot Development Companies in 2024
 
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyesHow to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
How to Effectively Monitor SD-WAN and SASE Environments with ThousandEyes
 
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native developmentEmixa Mendix Meetup 11 April 2024 about Mendix Native development
Emixa Mendix Meetup 11 April 2024 about Mendix Native development
 
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
Transcript: New from BookNet Canada for 2024: BNC SalesData and LibraryData -...
 
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical InfrastructureVarsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
Varsha Sewlal- Cyber Attacks on Critical Critical Infrastructure
 
Infrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platformsInfrared simulation and processing on Nvidia platforms
Infrared simulation and processing on Nvidia platforms
 
Generative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdfGenerative Artificial Intelligence: How generative AI works.pdf
Generative Artificial Intelligence: How generative AI works.pdf
 
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
Email Marketing Automation for Bonterra Impact Management (fka Social Solutio...
 
Decarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a realityDecarbonising Buildings: Making a net-zero built environment a reality
Decarbonising Buildings: Making a net-zero built environment a reality
 
Digital Tools & AI in Career Development
Digital Tools & AI in Career DevelopmentDigital Tools & AI in Career Development
Digital Tools & AI in Career Development
 
React Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App FrameworkReact Native vs Ionic - The Best Mobile App Framework
React Native vs Ionic - The Best Mobile App Framework
 
QCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architecturesQCon London: Mastering long-running processes in modern architectures
QCon London: Mastering long-running processes in modern architectures
 
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyesAssure Ecommerce and Retail Operations Uptime with ThousandEyes
Assure Ecommerce and Retail Operations Uptime with ThousandEyes
 
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptxGenerative AI - Gitex v1Generative AI - Gitex v1.pptx
Generative AI - Gitex v1Generative AI - Gitex v1.pptx
 

Geometry, combinatorics, computation with Zeolites

  • 1. Designer zeolites Igor Rivin Temple University Department of Mathematics All work joint with Mike Treacy (ASU)
  • 2. What is a zeolite? Zeolites (Greek, zein, "to boil"; lithos, "a stone") are hydrated aluminosilicate minerals and have a micro- porous structure. The term was originally coined in the 18th century by a Swedish mineralogist named Axel Fredrik Cronstedt who observed, upon rapidly heating a natural mineral, that the stones began to dance about as the water evaporated. Using the Greek words which mean "stone that boils," he called this material zeolite. We will describe what zeolites are to a mathematician shortly, but the important aspect of them for a material scientist is that they are very porous, and that’s what is responsible for most of the uses described below...
  • 3. Summary • Zeolites are industrially important. There is a need for new zeolite structures. • Zeolite frameworks can be represented as directed, or colored, graphs, that contain information about site symmetry and bonded neighbors. • Given a space group, and number of unique T-atoms NT, all the possible graphs can be enumerated by a combinatorial analysis of all those site-site interconnections that are consistent with tetrahedral bonding. • Graphs can be “embedded” in real space by various methods, such as simulated annealing, to find the regular tetrahedral SiO2 frameworks. • A combinatorial explosion of graphs with increasing NT, limits the method as presently implemented, to NT ≤ 7 for high symmetry space groups. The percentage of viable frameworks drops off rapidly with increasing NT. • Describe the methods used and highlight the problems with imbedding. • Examples from high-symmetry space groups, Pm3m, P6/mmm, etc • Can we predict how to make hypothetical zeolites?
  • 4. What are zeolites good for • Petrochemical industry Synthetic zeolites are widely used as catalysts in the petrochemical industry, for instance in fluid catalytic cracking and hydro-cracking. Zeolites confine molecules in small spaces, which causes changes in their structure and reactivity. The hydrogen form of zeolites (prepared by ion-exchange) are powerful solid-state acids, and can facilitate a host of acid-catalyzed reactions, such as isomerisation, alkylation, and cracking. The specific activation modality of most zeolitic catalysts used in petrochemical applications involves quantum- chemical Lewis acid site reactions. Catalytic cracking uses a furnace and reactor. First crude oil distillation fractions are heated in the furnace and passed to the reactor. In the reactor the crude meets with a catalyst such as zeolite. It goes through this step three times, each time getting cooler. Finally it reaches a step known as separator. The separator collects recycled hydrogen. Then it goes through a fractionator and becomes the final item.
  • 5. What are zeolites good for? • Commercial and Domestic Zeolites are widely used as ion-exchange beds in domestic and commercial water purification, softening, and other applications. In chemistry, zeolites are used to separate molecules (only molecules of certain sizes and shapes can pass through), as traps for molecules so they can be analyzed. Zeolites have the potential of providing precise and specific separation of gases including the removal of H2O, CO2 and SO2 from low-grade natural gas streams. Other separations include: noble gases, N2, O2, freon and formaldehyde. However at present, the true potential to improve the handling of such gases in this manner remains unknown.
  • 6. What are zeolites good for? • Nuclear Industry Zeolites have uses in advanced reprocessing methods, where their micro-porous ability to capture some ions while allowing others to pass freely allow many fission products to be efficiently removed from nuclear waste and permanently trapped. Equally important are the mineral properties of zeolites. Their alumino-silicate construction is extremely durable and resistant to radiation even in porous form. Additionally, once they are loaded with trapped fission products, the zeolite- waste combination can be hot pressed into an extremely durable ceramic form, closing the pores and trapping the waste in a solid stone block. This is a waste form factor that greatly reduces its hazard compared to conventional reprocessing systems.
  • 7. What are zeolites good for? • Agriculture In agriculture, clinoptilolite (a naturally occurring zeolite) is used as a soil treatment. It provides a source of slowly released potassium. If previously loaded with ammonium, the zeolite can serve a similar function in the slow release of nitrogen. Zeolites can also act as water moderators, in which they will absorb up to 55% of their weight in water and slowly release it under plant demand. This property can prevent root rot and moderate drought cycles.
  • 8. What are zeolites good for? • Animal Welfare In Concentrated Animal Growing facilities, the addition of as little as 1% of a very low sodium clinoptiloite was shown to improve feed conversion, reduce airborne ammonia up to 80%, act as a mycotoxin binder and improve bone density. See US Patents 4,917,045 and 6,284,232. Can be used in general odor elimination for all animal odors.
  • 9. What are zeolites good for? • Medical Zeolite-based oxygen concentrator systems are widely used to produce medical grade oxygen. The zeolite is used as a molecular sieve to create purified oxygen from air using its ability to trap impurities, in a process involving the absorption of undesired gases and other atmospheric components, leaving highly purified oxygen and up to 5% argon. QuikClot® brand hemostatic agent, which continues to be used successfully to save lives by stopping severe bleeding, contains a calcium loaded form of zeolite.
  • 10. What are zeolites good for? • Heating and refrigeration Zeolites can be used as solar thermal collectors and for adsorption refrigeration. In these applications, their high heat of adsorption and ability to hydrate and dehydrate while maintaining structural stability is exploited. This hygroscopic property coupled with an inherent exothermic (heat producing) reaction when transitioning from a dehydrated to a hydrated form, make natural zeolites useful in harvesting waste heat and solar heat energy.
  • 11. What are zeolites good for? • Detergents The largest single use for zeolite is the global laundry detergent market. This amounted to 1.44 million metric tons per year of anhydrous zeolite A in 1992.
  • 12. What are zeolites good for? • Construction Synthetic zeolite is also being used as an additive in the production process of warm mix asphalt concrete. The development of this application started in Europe (Germany) in the 1990s. It helps by decreasing the temperature level during manufacture and laying of asphalt concrete, resulting in lower consumption of fossil fuels, thus releasing less carbon dioxide,aerosols and vapours. Other than that the usage of synthetic zeolite in hot mixed asphalt leads to easier compaction and to a certain degree allows cold weather paving and longer hauls. When added to Portland Cement as a Pozzolan, it can reduce chloride permeability and improve workability. It reduces weight and helps moderate water content while allowing for slower drying which improves break strength.
  • 13. Aquarium keeping What are zeolites good for? Zeolites are marketed by pet stores for use as a filter additive in aquariums. In aquariums, zeolites can be used to absorb ammonia and other nitrogenous compounds. However, due to the high affinity of some zeolites for calcium, they may be less effective in hard water and may deplete calcium. Zeolite filtration is used in some marine aquaria to keep nutrient concentrations low for the benefit of corals adapted to nutrient-depleted waters. Where and how the zeolite was formed is an important consideration for aquariums. Northern hemisphere natural zeolites were formed when molten lava came in contact with sea water, thereby 'loading' the zeolite with Na (sodium) sacrificial ions. These sodium ions will speciate with other ions in solution, thus the takeup of nitrogen in ammonia, with the release of the sodium. In southern hemisphere zeolites, such as found in Australia, which were formed with fresh water, thus the calcium uptake on formation. Zeolite is an effective ammonia filter, but must be used with some care, especially with delicate tropical corals which are sensitive to water chemistry and temperature. Space hardware testing Zeolites can be used as a molecular sieve in cryosorption pumps for rough pumping of vacuum chambers which can be used to simulate space-like conditions in order to test hardware bound for space. Cat litter
  • 14. Zeolites Are Important for Synthesis, Refining, and Environmental Processes Zeolite Catalyst Sales, $M, Constant $ 1995 2000 2005 Chemical (1) 180 280 350 Refining (2) 650 930 1,130 Environmental (3) 150 410 530 Notes 1) Aromatics and specialty organic synthesis 2) USY in FCC, hydrocracking, Other zeolites in FCC additives, saturation, isomerization and lubes 3) VOC, automotive Source: The Catalyst Group
  • 15. Cumulative No. of Zeolite Patents and Publications (New Structures, Synthesis, Catalysis, Sorbents)/Year 1965 1970 1975 Patents 1980 Publications 1985 1990 1995 2000 Are there Opportunities for New Structures? 2005
  • 16. Why zeolite catalysts? • Significantly better product selectivity • Greater activity – leading to higher throughputs and debottlenecking. • Environmental compatibility – Catalyst disposal – Reduction of byproducts • Growth in the variety of available zeolite structures and compositions. • Improved understanding of diffusivity and structure – property – function relationships. Advances in zeolite catalyst technology have changed the nature of the refining and petrochemical processes – requiring less separation, less energy, smaller reactors, and often simpler process configurations
  • 17. Cumene Process sPA Cumene Purity 99.0% Cumene Yield 95% Bz/Propylene 8:1 Catalyst Life 12-18 mo. Zeolite Cumene Purity 99.97% Cumene Yield 99.7% Bz/Propylene 3:1 http://internet-mobil.na.xom.com/mobil_research/mapped/cumene.html Catalyst Life 5 yrs + sPA-Based Cumene Process In 1986 (US only) • Generated 250M lbs of heavy aromatics as a cumene byproduct - put into gasoline • Generated 5M lbs of spent SPA catalyst as solid waste Special Handling Requirements • SPA catalyst disposal involves drying and directed explosive charges to dislodge it from reactors • Requires precise H2O addition
  • 18. There are Five “Big” Zeolites Faujasite (FAU) MCM-22 (MWW) 12-MR, 3-dimensional 10- &12-MR, 2-dimensional Beta (BEA) 12-MR, 3-dimensional ZSM-5 (MFI) 12-MR, 1-dimensional Mordenite (MOR) 10-MR, 3-dimensional Attests to the versatility of these materials and the exceptional selectivity provided by the specific crystal structure
  • 19. Factors Contributing to the Predominance of These Five Structures • Early discovery and development • Scaleability and low cost of manufacture • Early structure resolution – allows modelling • Hydrothermal stability - regenerability • Compositional and morphological versatility • Understanding the underlying catalytic chemistry and implications of molecular transport • Inability of other materials to match the broad selectivity advantages and activity of these structures
  • 20. Are there Opportunities for New Structures? The Answer is Yes! Most Likely: – Supplementing existing catalysts to tailor selectivity – In new applications driven by changes in product demand or regulatory changes (e.g., benzene alkylation) – At the intersection of petroleum refining and petrochemical manufacturing – Where the materials provide new routes to existing processes (e.g., reaction and separation) – In specialty chemicals production where product margins can justify the cost of catalyst development and scale-up – Where there are needs for processing non-conventional feedstocks (e.g. biomass; heavy/dirty feedstocks; natural gas) – In advanced environmental catalysts (e.g. NOX and SOX reduction) However, almost all new zeolites are discovered by serendipity – by unpredictable synthetic methods, or as new minerals.
  • 21. The number of known zeolites is growing
  • 22. LTL Framework Pt/ K-zeolite L converts n-hexane to benzene with high yield and efficiency
  • 23. Construction of LTL Model Construct Cancrinite cages Stack Cross-connect Cancrinite cages Cancrinite columns
  • 25. But instead… Construct Cancrinite cages Stack Cross-connect Cancrinite cages Cancrinite columns
  • 27. Rotated Cancrinite Columns A simple connection error produced a new and interesting structure 191_2_14 191_2_13 LTL NOT-LTL Cross-linking creates 8-rings Cross-linking creates 4-rings apertures are sinusoidal apertures are smooth 12-ring 18-ring channels 18-ring channels a = 18.0 Å, c = 7.50 Å a = 21.4 Å, c = 7.66 Å
  • 28. Defects in Zeolites Represent New Local Topologies Faujasite with a stacking fault M. Audier, J, M,. Thomas, J. Klinowski, D. A. Jefferson and L. Bursill, J. Phys. Chem. 1982, 86, 581. The elusive “Breck’s structure 6”
  • 29. Challenge! How many ways can two Si atoms be interconnected in space group P6/mmm to produce regular tetrahedral zeolitic frameworks? • Billions+ ? – the combinations are almost infinite. • A handful ? – the combinations being limited by symmetry. It took 10 years to get an answer – there are exactly 48! 31 of which are close to regular tetrahedral.
  • 30. Methods For Finding New Frameworks • Synthesis + Direct experimental methods (Single crystal, Rietveld, TEM). – MFI, beta (+ many others) • Modification of existing structures. – ALPO-8 • Model building – trial and error. – FAU framework • Permutation of connections between sheets, polyhedra. – Many examples by J. V. Smith • Applying symmetry operators to secondary building units. – Akporiaye & Price, Shannon • Distance least squares, simulated annealing. – DLS-76 (Hepp Baerlocher, Meier), ZEFSA (Deem & Newsam) • Permutation of symmetry operators. – Fischer et al. (1993) - search for low-density frameworks • Dense grid search. – O'Keeffe & Brese (1990) • Symmetry-Constrained Intersite Bonding Search (SCIBS). – Treacy et al. (1993, 1997, 2004), Klein (1996) • Polyhedral tiling. – Andries & Smith (1996), Delgado-Friedrichs (1999)
  • 31. The LTL framework has P6/mmm symmetry 36 T-atoms and 72 oxygen atoms per unit cell
  • 32. The LTL framework has P6/mmm symmetry All of the symmetry operations can be generated by mirrors
  • 33. LTL Framework LTL fundamental region contains 2 T-atoms and 6 unique Oxygen atoms, and is bounded by 5 mirror planes. Each T-atom is connected to four oxygens The LTL framework is generated by the action of the mirror planes, much in the same way as a kaleidascope works.
  • 34. The general site has 3 choices 2 1 • 2 must connect directly to 1, and to the top and side faces to ensure 3-D connectivity. • This leaves one free bond, and three connectible faces. Permutation over the three available bonds gives 3 new structures LTL
  • 35. The basal mirror site has 3 choices 2 T-atom 2 is inside the fundamental region 1 • 1 must connect directly to 2. • Two of the oxygens attached to 1 must lie on the edges defined by intersecting (perpendicular) mirror planes to preserve regular tetrahedral symmetry. • The fourth bond to 1 is generated by reflection in the basal mirror plane. There are only 3 = 3.2.1 = 3 possibilities for atom 1 2 1.2.1
  • 36. Nine topologies with T-atoms on the same sites as LTL There are exactly 48 binodal topologies in P6/mmm, 31 of which refine well
  • 37. Generalizing to other space groups “Roadmap” viewgraph from 1991
  • 38. Colored Graph Description – LTL Colored (or directed) graph. The “color” is the bond operator type Space group Number of unique T-atoms Atom site list Atom id operator Atom id o o’ ’ Mirror sites o and o’ are topologically distinct. Oxygen atoms are implied by the Si–Si bonds, and are therefore redundant.
  • 40. Surprisingly, most of the effort is in refining the graphs The effort planned assumed that the refining would be quick and easy Imbedding the graphs in real space – refining them – has been arduous, and is an ongoing struggle. Speed and efficiency are low.
  • 41. Regular tetrahedral force model This is an empirical model with lowest cost for the cubic diamond structure 2 Ångstrom U = K 1 (d TT - 3.05) 3 + K 2 (a TTT - 1.91063) radian This formula attempts to force T-atoms into a regular tetrahedral arrangement with TTT angles of 109.47° This generates reasonable approximations to zeolite frameworks. Predicts that cristobalite has lower energy than quartz, because real zeolites do not favor tetrahedral TTT angles because of the bridging oxygen atoms
  • 42. Out of 6,471 uninodal graphs, only one was new! Space group #56. Pccn. a = 8.02 Å, b = 4.43 Å, c = 8.68 Å T-atom at: x = 0.071, y = 0.126, z = 0.151 T/1000 = 25.92 Out of 6,471 uninodal graphs, ~300 were plausible tetrahedral arrangements, and only one was truly new! mmt in O'Keeffe's database
  • 43. γ High density phase – “ −silica” Ia3 FD = 26.76 T-atoms/1000Å3 TD10 = 1165.0 Coordination Sequence 1 4 12 27 49 77 109 148 194 244 301 Vertex Symbol 6.62.6.62.6.62 • Related to O'Keeffe's γ –Si, bcc(8) • Post-diamond high-pressure form of carbon 206_1_170
  • 44. Next steps We have an enormous number of graphs out to NT ≤ 7, but had succeeded only in imbedding the uninodal (NT = 1) graphs without the oxygen atoms. • Find a way to efficiently imbed graphs with NT ≥ 2 – increases the number of graphs exponentially. • Find a way to efficiently include the bridging oxygen atoms – potentially triples the degrees of freedom. Both of these goals dramatically increase the complexity of the problem to be solved.
  • 45. Boisen-Gibbs-Bukowinski force model M. B. Boisen, G.V. Gibbs and M.S.T. Bukowinski, Phys. Chem. Minerals (1994) 21 269 – 284 2 UBGB = Aå (L - L0 ) O 2 + B å (OTO - OTO0 ) T 2 + C å (TO - TO0 ) T + Då å (L - L0 )(TO - TO0 ) T O + E å exp(- Fd OO +G) dOO >4• Empirical force field derived from ab-initio modelling of Si2O7, and fitting to quartz compressibility data. Most terms relate to the local T2O7 cluster. The non-codimer repulsion terms (dOO) are computationally expensive.
  • 46. Stages of refinement Example, LTL, space group P6/mmm (191) two unique T-atoms Place atoms at the Refine T-atoms and Refine T-atoms, Refine T-atoms, geometric center of unit cell parameters O-atoms and O-atoms and their neighbors using “regular unit cell parameters unit cell using (barycentering). tetrahedral” forces Using Boisen-Gibbs- GULP (J. Gale) Refine unit cell on T-atoms Bukowinski force model using T-atoms
  • 47. Refinement Method Parallel tempering with selective inheritance Parallel simulated annealing runs, with temperature swapping and with elements of a genetic algorithm Inherited “genes” • Temperatures are decreased, and swapped according to a Boltzmann factor • If logjammed, parameter lists are compared, and favorable “genetic” traits are selected from other annealing results
  • 49. Preconditioning the frameworks for refinement SiGH – Silica General Handler (S. A. Wells) • SiGH is a symmetry-aware ‘offspring’ of GASP. It finds rapidly the conformations that preserve best the rigid tetrahedra.
  • 50. SiGH as an efficient filter • SiGH finds rapidly the implausible frameworks – i.e. those for which there is no hope of ever identifying a tetrahedral flexibility window.
  • 51. SiGH speeds up the rate of framework discovery by a factor of ~10 • It appears that there are very few “babies in the bathwater”, but it seems likely that some good frameworks will be discarded inadvertently
  • 52. Combinatorial Explosion The number of graphs tends to increase exponentially with increasing n N = Α × Βν
  • 53. Combinatorial Explosion The number of graphs tends to increase exponentially with increasing n Pm3m (225) The number of viable frameworks does not increase as rapidly with increasing n
  • 54. Spacegroup Pm3m is “productive” Pm3m, 1T- atom 3 out of 3 uninodal graphs refine well 225_1_2 225_1_3 225_1_1 LTA SOD KFI UBGB = 0.007605 eV UBGB = 0.026605 eV UBGB = 0.021484 eV UGULP = -128.504213 eV UGULP = -128.562527 eV UGULP = -128.382971 eV
  • 55. Spacegroup Pm3m is “productive” 12 out of 13 binodal graphs refine well Pm3m, 2 T- atoms
  • 56. GULP evaluates stability from phonon eigenvalues Pm3m, 2 T- atoms 225_2_13 Tetrapod of double 3-ring prisms Some phonon eigenvalues are complex indicating that the framework is unstable in this space group and composition.
  • 57. Some construction themes are obvious Pm3m, 3 T- atoms (with hindsight) Sodalite cages connected by chains of cubes. The chain length can be varied indefinitely UGULP = -128.1129 eV/TO2 UBGB = 0.08123 eV/TO2 FD = 5.83 T-atoms/1000 Å3 Density = 0.5817 g.cm-3 Coordination sequences TD10 = 245.667 1 4 7 8 10 17 27 35 39 40 42 53 78 110 137 154 1 4 7 10 15 20 25 31 36 41 51 68 89 110 127 139 1 4 9 15 20 23 24 26 33 47 67 88 104 111 112 115 225_3_8 Vertex symbols 4.4.4.4.4.24 Parent member of the progression is sodalite 4.4.4.4.4.24 4.6.4.6.4.24
  • 58. Framework density tends to increase with increasing refinement energy P6 / mmm, 3 T-atoms 659 graphs out of 1150 refined with energy ≤ 1.0 eV/TO2 (BGB) The distribution of frameworks over energy is not uniform.
  • 59. P6/mmm produces some very pretty frameworks P 6 / mmm,3 T - atoms 191_3_123 [001] [100] [1 1 0]
  • 60. Enormous channels are possible P 6 / mmm,4 T - atoms a = 41.1Å c = 9.7 Å FD = 6.75 T-atoms/10003 191_4_1955 [001] [100]
  • 61. Delicate low-density structures P 6 / mmm, 3 T - atoms a = 26.5 Å c = 7.26 Å This representation is cell-doubled 191_4_3295 [001] Assembly of decorated 12-rings or decorated 24-rings FD = 10.88 T-atoms/10003
  • 62. Likely candidate P 6 / mmm,4 T - atoms a = 18.35Å c = 17.56 Å FD = 16.4 T-atoms/10003 4.4.4.6.8.12 4.4.4.6.6.8 4.4.6.6.6.6 4.6.4.6.6.12 191_4_5828 [001] Vertex symbols UBGB = 0.005 eV/TO2 suggest simple polyhedra Cancrinite and D8R
  • 63. Higher energy structures are also interesting Pm3m, 3 T- atoms Many beautiful, but improbable frameworks emerge at higher energies 191_3_786 UBGB = 0.5 eV/TO2
  • 64. Unembeddable frameworks are also interesting In ten, The smallest ring size is 10! ten Another structure, elv, has smallest ring size is 11. It cannot be drawn (yet!)
  • 65. Our database is online and searchable Several characterization tools have been implemented, including • Interactive graphics • Powder pattern simulation • Bond lengths, angles, topology • Pore characteristics (by Delaunay triangulation) • http://www.hypotheticalzeolites.net
  • 66. Spheres tell us a lot about zeolites 229_5_8058871 Maximum included sphere Largest freesphere Packing: He, Ne, Ar, Kr, Xe
  • 69. What is next? • Extend method out to NT = 12 (ie MFI) and beyond. – Improved graph-filtering based on graph topology is needed. – Rapid graph-refinement strategies are still needed. – Computer cluster working on the problem. • Improve framework topology → microporous properties tools to help identify appropriate synthetic targets. • Implement search algorithms based on pore characteristics. • Can Delaunay triangulation work on a torus? • Solve the Apollonian problem. This will accommodate the different van der Waals radii of the framework atoms. • Implement search algorithms against powder patterns. • Do all ‘real’ zeolites have a flexibility window? (Thorpe, Kapko)
  • 70.
  • 71. “Real” zeolites are flexible A. Sartbaeva, S. A. Wells, M. M. J. Treacy and M. F. Thorpe, The flexibility window in zeolites, Nature Materials 5 962–965 (2006).
  • 72. A set of simple rules helps limit the number of combinatorial possibilities (1) No T-atom can lie on a 6-fold axis (2) No T-atom, or T-atom vertex, can lie on a vertex of the fundamental region (3) If a T-atom lies on a face of the fundamental region, then two (and only two) of the T-atom vertices lie on that same face. (otherwise it is planar)) • Connections to atoms outside the fundamental region must involve either a T-atom, or one of its vertices, that lies on a mirror (or on an edge defined by two perpendicular mirrors). (5) All T-atoms are connected to four other T-atoms. (6) Tetrahedra are denied edge- and face-sharing connectivities. • Each of the five faces of the fundamental region must have at least one bond connecting through it. (For 3-dimensional connectivity)
  • 73. "γ-silica" comprises chiral space-filling units Ia3 206_1_170 There are equal numbers of left- and right-handed units One of the TOT bond angles is ~180°
  • 75. Pores are characterized automatically by Delaunay Triangulation Methods Empty circumspheres in SOD Delaunay triangulation identifies the empty circumspheres in an array of points. It is a natural and convenient method for identifying and characterizing the empty spaces (pores and channels) in zeolites. It also allows us to estimate pore opening diameters.
  • 76. Zeolites as Colored Graphs • Frameworks are represented as graphs with four edges (bonds) from each vertex. • All 4-connected uninodal graphs look the same – the clover-leaf shape. • There are four distinct 4-connected binodal graphs. • Edges (bonds) are "colored" by the crystallographic operator (and its inverse) that defines the connection. • A combinatorial search is performed on all possible permutations of edge colorings.
  • 78. Interthreaded Δ1 cristobalite framework Pn3m, No. 224 This framework exists! [Sn5S9O2] . [HN(CH3)3]2 — Parise and Ko (1995)
  • 80. Coordination Sequence • The coordination sequence for a T-atom Sk is the number of T-atoms in the shell that is k bond lengths away. • Topological density TD10 can be defined simply as the sum of the first 10 entries of the coordination sequence Count T-atoms on expanding shell Coordination sequence is not necessarily Faujasite fragment unique to each framework.
  • 81. Circuit Symbols and Vertex Symbols • Each T-atom has 6 interbond angles • Describe each of the six shortest loops connecting any pair of bonds • Example FAU – has one unique T-atom • Circuit/Vertex symbols are not necessarily unique to each framework.
  • 82. Issues when atoms are not points Apollonian triangulation Eight solutions exist for circles, sixteen solutions for spheres. We believe that we have this problem solved (in principle!)
  • 83. Lowest-energy 6 T-atom structure Pm3m, 6 T- atoms UGULP = -128.5184 eV/TO2 Clathrated assembly of sodalite cages (in a sodalitic arrangement), cancrinite cages double 6-ring prisms and cubes. 225_6_22665 Modified SOD + LTA + LTL.
  • 84. Family of 3D defect structures Pm3m, 6 T- atoms a = 41.285 Å (doubled cell) 225_6_22585 225_6_22665 a = 41.633 Å UGULP= -128.4852 eV/TO2 UGULP = -128.5184 eV/TO2 (More stable!) • The third end-member of this particular series, ALL CAN/D6R units, has not yet been located in the data (confident it is there). • The SOD ⇐⇒ CAN/D6R transformation can occur in local pockets of 8 units at a time
  • 85. Framework of ZSM-10 Known to be in P6/mmm with 6 unique T-atoms There were 18.4 million graphs with 6 unique T-atoms. This is the one!
  • 86. Visual Comparison of Powder Patterns Favors Model A It is difficult to remove all extraframework K cations. A recent Rietveld refinement by D.L Dorset confirms A as the best fit.
  • 87. ZSM-10: plausible low-energy frameworks Two frameworks with 5-rings have even lower energy than LTL When refined as pure SiO2
  • 88. Correlation between BGB and GULP framework energies is linear at low energies P 6 / mmm, 3 T - atoms • Some of the scatter may be related to the vagaries of simulated annealing • The gradient is 1:6 at low energies, 1:1 at higher energies (EGULP > 0.7 eV).
  • 89. Delaunay Triangulation of a set of points
  • 90. The perpendicular bisectors define the Voronoi cells The edges of the Voronoi cell are equidistant from two points. Each Voronoi cell “belongs” to one point.
  • 91. The empty circumcircles reveal the empty space Each circle touches three points, but does not enclose any points. These circles thus delineate the empty space – i.e. the pores!
  • 92. Typo at a recent conference: Zeoltie? A combinatorial permutation of zeolite. ZeoTile Is more appropriate for a polyhedral tilings (O. Delgado Friedrichs & M. O’Keeffe?) OzElite J. C. H. Spence and D. J. Smith?
  • 93. Cross-link defect that connects the interthreaded cristobalite frameworks “Wormhole” defect that cross-connects two parallel frameworks
  • 94. Cogwheels of double 3-ring prisms Pm3m, 3 T- atoms 225_3_32 225_3_27
  • 95. Establishing Connectedness in the General Case is Time-Consuming. For connectedness, there must exist a path of bonds connecting each atom A to its translated image A' in an adjacent unit cell. Further, there must exist a path connecting all dissimilar atoms. To prove that A and its image A' are not connected can involve (2n+1)3 unit cells, where n is the number of unique atoms in the unit cell. Significant speed-up is obtained by restricting the search to adjacent unit cells only. Some legitimate structures will be overlooked.
  • 96. Comparison of GULP and BGB Refinements The GULP program and the Boisen-Gibbs-Bukowinski (BGB) Refinements produce subtle differences in frameworks BGB is a bonded-neighbour-only force-field
  • 97. Correlation between topological density and framework density Correlation is strongest for lowest energy refinements
  • 98. Comparison of two combinatorial methods O. Delgado Friedrichs et al (Nature 400 644 (1999)) demonstrated a combinatorial method based on tilings of polyhedra. Since many important zeolites can be thought of as being built from simple polyhedral units, the tiling method effectively pre-selects the connected sub-units (tiles) based on their likelihood of forming regular tetrahedral frameworks. In our method, the sub-unit is the isolated T-atom. ALL possible graphs are found for a given space group and number of unique T-atom by permuting all possible arrangements of T-atoms on special crystallographic sites. However, many of these graphs cannot be arranged as regular Tetrahedral frameworks. The likely topologies (ie based on the polyhedra implicit in the graph) are filtered out after each graph is created. The two methods must converge on the same frameworks, but from different starting points.
  • 99. What is next? • The Structure Commission of the International Zeolite Association is planning to create a database of hypothetical zeolite frameworks that will be available to researchers on the web (perhaps by mid-2004). – Data of Smith, O’Keeffe/Delgado-Friedrichs, Bell/Foster, Deem, Treacy. • Extend method out to NT = 12 (ie MFI) and beyond. – Improved graph-filtering based on graph topology is needed. – Rapid graph-refinement strategies are needed. – Computer cluster working on the problem (plus Martin Foster). • Improved tools for cataloging frameworks (O’Keeffe leads the way) • Improve graphics tools for visualizing results! • Needed: Improved framework topology → microporous properties tools to help identify appropriate synthetic targets.
  • 100. Outstanding issues for the database • Solve the Apollonian problem. This will accommodate the different van der Waals radii of the framework atoms. • How to handle elliptical apertures? • Implement search algorithms based on pore characteristics. • Implement search algorithms against powder patterns
  • 101. Combinatorics of connections between crystallographic sites There are 14 connectable sites for tetrahedra in the P6/mmm fundamental region. The rules for interconnections depend on the site.
  • 102. A Venn Diagram Framework! P 4 / mmm, 3 T- atoms Tetragonal trihedron I4/mmm (139) 3 unique T-atoms A 3-fold “paddle wheel” -128.238 eV/TO2 (from GULP) of bent 4-rings. 1 4 8 13 22 36 52 69 86 98 112 4.42.4.62.62.261024 1 4 9 16 24 35 52 67 78 101 138 4.4.4.82.4.82 1 4 9 18 30 39 46 60 86 121 160 4.42.8.8.8.8