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Nanoporous materials with predicted zeolite topologies

Vladislav A. Blatov*ab, Olga A. Blatovaab, Frits Daeyaertcd and Michael W. Deem*ce
aSamara Center for Theoretical Materials Science (SCTMS), Samara University, Ac. Pavlov St. 1, 443011 Samara, Russian Federation. E-mail: blatov@topospro.com
bSamara Center for Theoretical Materials Science (SCTMS), Samara State Technical University, Molodogvardeyskaya St. 244, 443100 Samara, Russian Federation
cDepartment of Bioengineering, Rice University, 6100 Main St, Houston, TX, USA. E-mail: mwdeem@rice.edu
dFD Computing, Stijn Streuvelsstraat 64, 2340 Beerse, Belgium
eDepartment of Physics & Astronomy, Rice University, 6100 Main St, Houston, TX, USA

Received 28th February 2020 , Accepted 16th April 2020

First published on 8th May 2020


Abstract

An increasing number of newly synthesized materials have been found to be previously present in databases of predicted porous materials. This has been observed not only for zeolites, but also for other inorganic materials and for MOFs. We here quantify the number of synthesized zeolites that are present in a large database of predicted zeolite structures as well as the number of other inorganic crystals and MOFs present in this same database. We find a significant number of real materials are in this predicted database of zeolite-like structures. These results suggest that many other predicted structures in this database may be suitable targets for designer materials synthesis.


Introduction

Zeolites are nanoporous crystal forms of aluminosilicate oxides that are widely used in catalysis and adsorption.1 At present, 248 zeolite topologies are known.2 These structures differ in the connectivity and relative ordering of the TO4 (T = Si or Al) tetrahedra, and therefore in the size and shape of the nanoporous cavities. In addition to aluminosilicate zeolites, numerous materials with zeolite topologies but containing other elements or building blocks that serve as tetrahedral centers and bridging atoms are known.3,4

Due to their importance in many industrial processes, the discovery and identification of novel zeolite and zeolite-like materials is a field of intensive research.4 To aid the search for new zeolites, computational methods have been applied to generate novel predicted topologies that expand upon the currently known materials.5–7 The PCOD database8 developed in the Deem laboratory contains predicted zeolite structures that have both a low computed energy gap with respect to alpha-quartz, and an energy/density ratio that is in the range of known zeolites. A considerable number of existing zeolites were found in the structures predicted during the generation of the database.6

The PCOD has been extensively screened in the search for zeolites with specific functionalities.9–15 The ToposPro program package16 is a computer program for the topological analysis of crystal structures allowing an objective description and comparison of crystal structures. Recently, the PCOD database has been made searchable with the ToposPro package and the corresponding online TopCryst service.17 This allows the comparison of newly discovered zeolite frameworks with the predicted frameworks in the PCOD. Thus, a number of recent candidates for the IZA database of known zeolites have been found to correspond to entries in the PCOD.18–20 In total, 154 of the 248 known zeolite frameworks in IZA were identified in the PCOD. The concept of structure representation in the ToposPro method also allows the comparison of topologies of different classes of materials such as inorganic compounds and coordination polymers. By searching the Inorganic Crystal Structure Database (ICOD21) and the Cambridge Structural Database (CSD22) we additionally found a large number of topologies that were predicted in the PCOD. Of these, 57 were zeolite-like inorganic materials, and 118 were metal–organic frameworks (MOF), another class of nanoporous materials.

Thus, a large number of predicted zeolite topologies present in the PCOD correspond to synthesizable compounds, be it zeolites or other nanoporous materials. This, in combination with the very large size and topological diversity of the database, is an incentive for further search efforts of this database in the design of novel materials with tailored properties.

Methods

At the origin of the PCOD is a Monte-Carlo based algorithm to generate predicted zeolite-like frameworks by sampling and optimizing a zeolite figure of merit.23 Initially, approximately one million structures were found belonging to a limited number of space groups. The database was extended to include topologies of all space groups,6 and was refined by performing energy minimization with two force fields, SLC25 and BKS,26 using the GULP program.27 Of the thus obtained 2.7 million topologically unique, energy minimized structures, 313[thin space (1/6-em)]565 were no higher in energy than 30 kJ (mol Si)−1 relative to quartz using the SLC force field, and 585[thin space (1/6-em)]139 were no higher in energy than 65 kJ (mol Si)−1 relative to quartz using the BKS force field.7 These criteria are judged to be the limits for thermodynamically stable aluminosilicate zeolites, and therefore only these structures were retained in the database.

The ToposPro program package offers an objective and complete approach to explore crystal structures by analyzing their topology. In addition to coordination sequences, ToposPro computes the so-called point symbols and vertex symbols that collect the shortest cycles and rings (cycles without shortcuts) of atoms, respectively.28 The general scheme of the analysis includes the following steps:29 (i) determination of all interatomic interactions in the structure using a number of chemical and geometrical criteria; (ii) search for structural groups (building blocks) with unique topological algorithms; (iii) simplification of the structure by squeezing the structural groups into their centers of mass keeping the connectivity between the groups; (iv) determination of the topology for the resulting underlying net, i.e. the net of the centers of the structural groups, by comparison of the topological indices (coordination sequences, point and vertex symbols) of the underlying net with the indices for the reference topologies from the ToposPro TTD Collection. All these steps are performed in an automated mode, so thousands of crystal structures can be processed in an appropriate time. We have applied this procedure to determine the PCOD topologies and to identify which IZA zeolite topologies are present in the PCOD. Additionally, the Cambridge Structural Database (CSD, version 5.40 as of November 2018) and the Inorganic Crystal structure Database (ICSD, release 2019/2) were screened for PCOD topologies. Two classes of materials were distinguished: zeolite-like inorganic materials, and MOFs. For identifying the MOFs, the MOF building blocks were treated as T-centers, and the organic linkers as the oxygen atoms in the corresponding predicted zeolite structures. All frameworks (PCOD structures, inorganic materials and MOFs) were simplified to their underlying nets consisting of only T centers by replacing the linker nodes (L) by edges between the T centers, i.e. by the graph transformation T – L – T → T – T (Fig. 1). To designate the underlying topologies, besides the IZA symbols for zeolites, we use the RCSR three-letter symbols,30 the ToposPro NDn nomenclature, the Epinet sqc symbols, and Fischer's symbols k/m/fn for three-periodic sphere packings.29 For the PCOD topologies that have not been found in other resources, we use the ToposPro NDn symbols with the suffix HZ; for example, the ToposPro symbol 4,4T1319-HZ means that this is a predicted zeolite with two topologically inequivalent T nodes (N = 4,4), three-periodic framework (D = T) and the ordinal number n = 1319 among other topologically different predicted zeolites with two crystallographically distinct T nodes.


image file: d0ra01888k-f1.tif
Fig. 1 Simplification of a zeolite (left) and a MOF (right) structures to the zeolite framework, in this case sodalite (SOD). At the first step, all extraframework species are removed, and organic ligands are squeezed into their centers of mass. At the second step, all bridge nodes are transformed to the network edges. Aluminosilicate AlSi5O12 with unidentified extraframework organic species31 and [(methylimidazolato)2Zn]32 are the original zeolite and MOF structures in this example.

Results

A total of 154 of the 248 IZA structures were found to be present in the PCOD. Additionally, by screening the CSD and ICSD, 72 zeolite-like and other inorganic materials and 118 MOFs were found to have topologies present in the PCOD.

Table SI1 lists the 154 PCOD structures that were identified in the IZA database. Column one provides the PCOD code, and column two provides the IZA code of each framework.

Table 1 lists the 72 zeolite-like and other inorganic structures. The first two columns provide the PCOD number and the number of actual structures found. Not all topologies are listed, but only those that are chemically close to zeolites. For each topology, the ICSD reference code and atomic composition of a selected structure are provided in columns three and four. The last column provides the symbol of the topology according to one of the nomenclatures described above.

Table 1 Inorganic zeolite-like materials from the ICSD with topologies present in the PCOD. IZA zeolites are excluded from this table. The entries with a bold PCOD number are inorganic compounds whose composition precludes their classification as zeolite materials, but which nonetheless have a zeolite-like topology of the listed PCOD number
PCOD Number of structures ICSD ref. code (example) Formula (example) Underlying topology
PCOD8000022 364 9829 NaAlSi3O8 fel
PCOD8322222 352 1109 SiO2 lon
PCOD8249897 274 33765 Na(FeO2) dia
PCOD8149775 202 237135 Al4Fe2Si5O18 brl
PCOD8322767 97 23371 Na2Mg5Si12O30 4,4T45
PCOD8029344 79 87538 Na4(Al3Si9O24)Cl sca
PCOD8167638 57 170497 SiO2 pcl
PCOD8128122 52 74860 LiAl(PO3)4 mog
PCOD8046833 49 20208 Li3(PO4) deh2
PCOD8147992 46 18112 SiO2 coe
PCOD8171653 17 180997 Ca(Al2O4) byl
PCOD8128676 13 74808 KCo(PO4) tpd
PCOD8033784 10 246132 Li2Fe(SiO4) 4,4,4,4T130
PCOD8249812 9 41661 CaAl2O4 cag
PCOD8157925 9 68772 K(AlSi2O6) kea
PCOD8308057 5 195287 Au(PO4) pts
PCOD8152484 4 156657 BaNa2(AlSiO4)4 bnl
PCOD8129062 4 191544 Li2Mn(SiO4) sie
PCOD8128656 3 171001 BaFe2O4 baf
PCOD8321582 3 151369 Ca3(Al2O6) nbo
PCOD8170506 3 75659 SiO2 irl
PCOD8045579 2 33279 Na2Li3(FeO4) sqc8104
PCOD8302308 2 170516 SiO2 tzs
PCOD8000219 2 173216 Li3(VO4)(H2O)6 afw
PCOD8046854 2 380488 KBSi2O6 4,4,4T91
PCOD8129307 1 1291 Be(PO3)2 4,4,4T159
PCOD8048022 1 56684 SiO2 4,4T39
PCOD8154928 1 60069 LiK(PO3)2 zsn
PCOD8255081 1 62584 SiO2 4,4,4,4T15
PCOD8166122 1 62585 SiO2 4,4,4,4T14
PCOD8325712 1 63414 Na2.67K1.33Zn4(PO4)4 4,4,4T148
PCOD8000277 1 75653 SiO2 unc
PCOD8128689 1 75664 SiO2 bbe
PCOD8000217 1 79705 K2(ZnSi2O6) bbi
PCOD8037080 1 79705 K2(ZnSi2O6) 4,4,4,4,4T4
PCOD8128125 1 83427 Na2Zn(Si2O6) bbm
PCOD8189369 1 83861 SiO2 4,4,4,4,4T3
PCOD8323349 1 89700 SiO2 bam
PCOD8000118 1 91681 Al(PO4) bcq
PCOD8163521 1 92721 (Mg0.917Fe0.083)2Na0.084(Al3.970Fe0.038Si4.992)O18(H2O)0.38(CO2)0.192 mot-e
PCOD8307680 1 170479 SiO2 wse
PCOD8123215 1 170480 SiO2 dei
PCOD8321616 1 170493 SiO2 umk
PCOD8009546 1 170498 SiO2 umq
PCOD8170966 1 170499 SiO2 umi
PCOD8330894 1 170512 SiO2 cbo
PCOD8308285 1 170526 SiO2 uot
PCOD8308073 1 170528 SiO2 uox
PCOD8169643 1 170534 SiO2 ukb
PCOD8301974 1 170541 SiO2 4/5/t1
PCOD8297080 1 170543 SiO2 lcs
PCOD8129487 1 170545 SiO2 gsi
PCOD8123200 1 170546 SiO2 mmt
PCOD8045573 1 170547 SiO2 neb
PCOD8264888 1 173625 Al15.68(Si41.1Al6.9)O96 4,4,4,4T127
PCOD8003420 1 170960 Rb4(UO2)2(Si8O20) 4,4,4,4,4T7
PCOD8308378 1 261103 K3.33(C2H5)C1.5(Be2Si12O33.7) ksx
PCOD8328203 1 92822 NaB(SiO4) 4,4,4T24-CA
PCOD8185681 8 167183 Zn(SiO3) 4,4,4T5318-HZ
PCOD8120181 4 4362 NaK(CuSi4O10) 4,4,4T4043-HZ
PCOD8170348 2 162489 K(AlSiO4) 4,4,4T5003-HZ
PCOD8124771 2 410869 K(ZnBP2O8) 4,4T1080-HZ
PCOD8283381 2 2116 Na6FeSi8Al4O26 4,4,4T6294-HZ
PCOD8127150 1 20797 K2BeSi4O10 4,4,4,4,4T243508-HZ
PCOD8052206 1 33924 H(AlSi4O10) 4,4T1048-HZ
PCOD8308516 1 59846 Zn(PO3)2 4,4,4T6862-HZ
PCOD8321753 1 65475 Li3K3(P6O18)(H2O) 4,4T1321-HZ
PCOD8099926 1 85474 Si56O112 4,4,4,4,4,4,4T28511-HZ
PCOD8321730 1 85734 Li6(P6O18)(H2O)3 4,4T1319-HZ
PCOD8071670 1 86548 SiO2 4,4,4,4,4,4T6819-HZ
PCOD8308593 1 86549 SiO2 4,4,4T6867-HZ
PCOD8168418 1 411142 Na0.75(NH4)0.25Zn(PO4) 4,4T1145-HZ


Table 2 lists the 118 MOF topologies. The first column provides the PCOD identifier and the second column the topology symbol. The bold entries have IZA zeolite topologies, the codes of which are listed in the third column. Column four lists the total number of structures found in the CSD, and the last column provides the CSD code of one of these structures as an example.

Table 2 MOF topologies from the CSD found in the PCOD. The entries with a bold PCOD number are also known IZA zeolite topologies
PCOD code Underlying topology IZA code Number of structures CSD ref. code (example)
PCOD8249897 dia   2291 XEYXUW
PCOD8308057 pts   632 AVIVAC
PCOD8128122 mog   299 PUZBES
PCOD8321582 nbo   258 TANNUU
PCOD8321332 sod SOD 186 XIZDER
PCOD8067826 crb BCT 120 PUMNIV
PCOD8000282 gis GIS 96 DIZJED
PCOD8322222 lon   85 FIPXAF
PCOD8171811 bbf   70 QAVDEW
PCOD8249812 cag   51 KOTPUG
PCOD8000277 unc   41 VAHWOS02
PCOD8045573 neb   40 ANUPIK
PCOD8162585 dft DFT 22 HIFVOI
PCOD8297080 lcs   22 GIZJUV
PCOD8306957 rho RHO 20 MECWOH
PCOD8321454 uni   20 DIVPUU
PCOD8077978 gme GME 16 RIRDAZ
PCOD8164109 frl   15 VEPBOK
PCOD8170506 irl   14 DEXXOU
PCOD8000219 afw   11 DAGFUP
PCOD8068050 cha CHA 11 NIRKAB
PCOD8238986   THO 10 BEFNAD
PCOD8123200 mmt   10 DUWREU
PCOD8308045 ana ANA 10 GUPDOL
PCOD8306691 mer MER 8 EWENUR
PCOD8170814 npo NPO 7 SODKIH
PCOD8308796   SAV 6 LOFZUB
PCOD8308791 edi EDI 6 XAQTOY01
PCOD8117704   LAU 5 YOMVIG
PCOD8123215 dei   5 TOBQAE01
PCOD8115801 ast AST 5 IRUROC
PCOD8001707 can CAN 5 PAJSAX
PCOD8307996 fau FAU 5 XEQNIQ
PCOD8304448 mtn MTN 4 GAQYIH
PCOD8160106 4,4T67   4 QUDKIK
PCOD8122541   OWE 4 BEFNOR
PCOD8307029 asv ASV 4 GOMSUW
PCOD8324721 unj   4 UFAQIE
PCOD8129487 gsi   4 ZUYWAR
PCOD8077973 cgs CGS 3 DEPTOH
PCOD8077922 cfc   3 XACFAJ
PCOD8227613 bbh   3 ADECEU
PCOD8123876 4,4,4,4,4,4T10   3 EXOKIM
PCOD8052570 pcb ACO 3 DEJROB
PCOD8055858 4,4T133   3 TAXHUX
PCOD8163960 4,4T85   3 WUPTIM
PCOD8163521 mot-e   3 FIWJIG
PCOD8125027 4,4,4,4,4,4,4,4T11 JNT 3 SOQJIT01
PCOD8095118 lev LEV 3 TOFWEQ
PCOD8331046 sdt   2 ALIBUT
PCOD8330894 cbo   2 DOLWEI
PCOD8047042 noq   2 LATCIS
PCOD8126401 4,4,4,4T11   2 AMBZAG10
PCOD8085224 sas SAS 2 VAHSIH
PCOD8045484 4,4T10   2 BOSCET
PCOD8321918 afx AFX 2 OSUSAY
PCOD8156657   JRY 2 MORZID
PCOD8167638 pcl   2 RIDKOE
PCOD8117232   JSN 2 DARJOX
PCOD8295280   SAF 2 SUSZIQ
PCOD8248916   JSW 2 HATSEC
PCOD8077977   AEI 2 BEFPAF
PCOD8128125 bbm   2 MUNQIX
PCOD8124791 ucn SBN 2 FIGQIV
PCOD8323892 4,4T148   2 RIRDED
PCOD8169309 bik BIK 2 YOMBOS
PCOD8185531 bbg   1 MUDHOK
PCOD8171792 cdp   1 ZAYFEN
PCOD8217418 stc-4,4-Ccce   1 PUWQAA
PCOD8047071 4,4,4T162   1 OKUWOI
PCOD8123892P fsg-4,4-Cmmm   1 XUNTEH01
PCOD8156062 cus   1 XUNSOQ
PCOD8324445 afi AFI 1 IMIDZB13
PCOD8255216 4,4,4T206   1 KALXUT
PCOD8041061 ukn   1 OBAWOG
PCOD8308449 kat1   1 OFERUN08
PCOD8056793 phi PHI 1 BEFMAC
PCOD8307701 kfi KFI 1 JILWOR
PCOD8129205 4,4T101   1 PAPHOF
PCOD8047025 4,4,4T33   1 MUPLAL
PCOD8324260   SFW 1 OSUSIG
PCOD8000235 4,4T146   1 NIJTUX
PCOD8146884 Sqc973   1 DOKJIX
PCOD8054148 afy AFY 1 COQNIF
PCOD8302308 tzs   1 OXEVOE
PCOD8125166 4,4,4T43   1 DOHBAE
PCOD8125020 4,4,4,4,4,4,4,4T18   1 SUWZUH
PCOD8324829   MEI 1 YUTFAW
PCOD8078892   USI 1 IJIGOX
PCOD8118604 4,4T16   1 TOQBUW
PCOD8126974 4,4,4,4T72   1 SOCJUR
PCOD8111377 4,4T168   1 QUMJAL
PCOD8129307 4,4,4T159   1 MURFEM
PCOD8054312 4,4T21   1 GIMWAB
PCOD8095768 sat SAT 1 PAQJUM
PCOD8305504 4,4,4T60   1 HABREJ
PCOD8308885 4,4T131   1 QUBWIU
PCOD8308885 zec   1 HICGEG
PCOD8129062 sie   1 BEFLUW
PCOD8123580   ZON 1 NETRIN
PCOD8121794 sqc3848   1 CODSOF
PCOD8111380 4,4T23   1 ICIZAV
PCOD8128437 sta-4,4-Cccm   1 EMAYUM
PCOD8122913 4,4T255   1 VALVEM
PCOD8125830   AFN 1 AXUPEO
PCOD8134958 4,4,4T68   1 LUZZEM
PCOD8187865 itv   1 GUPCUQ02
PCOD8047418 4,4T46   1 BOQTEI
PCOD8187185 umr   1 SAZPOB
PCOD8056515 ntn   1 USOXIL
PCOD8011377 jbw JBW 1 IGUCIX
PCOD8171653 byl   1 GUKLOO
PCOD8308073 uox   1 WEMWAP
PCOD8136892 4,4,4,4T5   1 NISPEL
PCOD8014403 4,4,4,4,4,4T1   1 IGEXUN
PCOD8036144 4,4,4T81   1 QUPHOZ
PCOD8228636 att ATT 1 FECCIZ
PCOD8076973   BOF 1 BAXMUI


Table 3 lists 11 IZA topologies not found in the PCOD database, but present in MOFs. Also listed are the two interrupted structures not eligible for inclusion in the PCOD database. The first column provides the IZA code of each framework. The second column provides the number of actual structures found. The third column provides the ICSD reference code.

Table 3 MOFs from the CSD, which possess IZA zeolite topologies, but which are not contained in the PCOD
IZA code Number of structures CSD ref. code (example)
ABW 397 LABPIP
ATN 8 EYUKOZ
BSV 7 XUWTEO
CGF 1 NIVRAL
-CLO 1 ZAZNUL
CZP 2 XUWSUD
DFO 2 SIHFAQ
-LIT 1 GADWAL
LTA 8 HITYEP
PUN 1 RUMXUT
RWY 10 MUNBAY
SOS 2 MANKIW
WEI 3 FAHQEN


Discussion

To reduce the predicted structures to unique entries in the PCOD, originally the coordination sequences out to the 12th shell at each crystallographically distinct T atom were compared.6 However, it is possible although rare for two structures with distinct topologies to have identical coordination sequences up to a given shell. So, for example RHO (Table SI1) but not LTA (Table 3) has been retained in the PCOD, as they have the same coordination sequence.6 The ToposPro algorithm provides additional criteria to determine the overlap between the PCOD and IZA databases, and for that matter between PCOD and other structural databases. In particular, RHO and LTA are distinguished in ToposPro by their extended point symbols:28 [4.4.4.6.6.6] and [4.6.4.6.4.83], respectively.

Three very recently discovered new zeolites, EMM-37,18 ECNU-21,19 and PST-30,20 also have frameworks that were predicted in the PCOD. Of these, PST-30 has a framework that was a priori designed from known building blocks of existing frameworks using rational design of a structure directing agent.20

It is interesting to note that of the 118 MOF topologies found in the PCOD, 46 are also in the IZA database. Conversely there are 11 MOF topologies present in the IZA database but not found in the PCOD. In addition, there are two interrupted MOF structures that are also found in the IZA database.

The ToposPro approach thus has enabled us to exhaustively and unequivocally identify existing zeolites, zeolite-like materials, and MOFs that have been predicted by the purely theoretical and unbiased methods used to generate the PCOD. This is very promising as it is an indication of the practical synthesizability of these hitherto predicted compounds. This in turn motivates the development and application of algorithms to further mine predicted structure databases for novel materials with desired or tailored properties.24,33 We have included the PCOD topologies into the ToposPro TTD Collection as a separate predicted zeolite database and provided a remote access to the database through our TopCryst service. One can use ToposPro to generate the underlying net for any zeolite-like framework and then check if the framework was already generated as a predicted zeolite.

Our analysis has not considered chirality. Only one of the two possible chiral forms for non-centrosymmetric structures is included in the PCOD database. The other chiral form is found by inversion.

Conclusion

It has been known that a number of predicted zeolite structures in the PCOD database corresponded to existing zeolite materials in the IZA database.6 Using the ToposPro program we have further confirmed this and also found that newly discovered zeolites had been predicted by the PCOD. In addition we have found that other nanoporous materials such as inorganic zeolite-like compounds and MOFs have topologies that are present in the PCOD. This confirms that PCOD has a great potential for screening of novel nanoporous materials for selected applications and their eventual synthesis and use.

Conflicts of interest

Michael W. Deem is a consultant for the petrochemical industry in the area of zeolites. This relationship did not affect the design or outcome of the present research.

Acknowledgements

V. A. B. and O. A. B. thank the Russian Science Foundation (Grant No. 16-13-10158) for supporting the development of the databases on porous materials. F. D. and M. W. D. acknowledge support from the US Department of Energy Basic Energy Sciences Separation Science Grant DE-SC0019324 and from the Welch Foundation Grant C-1917-20170325.

References

  1. S. M. Auerbach, K. A. Carrado and P. K. Dutta, Handbook of zeolite science and technology, M. Dekker, Inc., New York, 2003 Search PubMed.
  2. C. Baerlocher and L. B. McCusker, Database of zeolite structures, htttp://www.iza-structure.org/databases/ Search PubMed.
  3. W. Tong, H. Zhou and S. L. Suib, Microporous Mesoporous Mater., 2000, 37, 243–252 CrossRef.
  4. Y. Li and J. Yu, Chem. Rev., 2014, 114, 7268–7316 CrossRef CAS PubMed.
  5. M. D. Foster, A. Simperler, R. G. Bell, O. Delgado, F. A. Friedrichs, A. Paz and J. Klinowski, Nat. Mater., 2004, 3, 234–238 CrossRef CAS PubMed.
  6. M. W. Deem, R. Pophale, P. A. Cheeseman and D. J. Earl, J. Phys. Chem., 2009, 113, 21353–31360 CAS.
  7. R. Pophale, P. A. Cheeseman and M. W. Deem, Phys. Chem. Chem. Phys., 2011, 13, 12407–12412 RSC.
  8. http://www.crystallography.net/pcod/.
  9. V. S. Balashankar and R. A. Rajendran, ACS Sustainable Chem. Eng., 2019, 7, 17747–17755 CrossRef.
  10. L.-C. Lin, A. H. Berger, R. L. Martin, J. Kim, J. A. Swisher, K. Jariwala, C. H. Rycroft, A. S. Bhown, M. W. Deem, M. Haranczyk and B. Smit, Nat. Mater., 2012, 11, 633–641 CrossRef CAS PubMed.
  11. S. S. Iyer and M. M. F. Hasan, Ind. Eng. Chem. Res., 2019, 58, 10455–10465 CrossRef CAS.
  12. E. H. Cho, Q. Lyu and L. C. Lin, Mol. Simul., 2019, 45, 1122–1147 CrossRef CAS.
  13. Y. J. Lee, S. D. Barthel, P. Dlotko, S. M. Moosavi, K. Hess and B. Smit, J. Chem. Theory Comput., 2018, 14, 4427–4437 CrossRef CAS PubMed.
  14. H. Fang, A. Kulkarni, P. Kamakoty, R. Awati, P. I. Ravikovitch and D. S. Sholl, Chem. Mater., 2016, 28, 3887–3896 CrossRef CAS.
  15. R. Martin, C. M. Simon, B. Smit and M. Haranczyk, J. Am. Chem. Soc., 2014, 136, 5006–5022 CrossRef CAS PubMed.
  16. V. A. Blatov, A. P. Shevchenko and D. M. Proserpio, Cryst. Growth Des., 2014, 14, 3576–3586 CrossRef CAS.
  17. https://topcryst.com.
  18. E. Kapaca, A. Burton, E. Terefenko, H. Vroman, S. C. Weston, M. Kochersperger, M. Afeworki, C. Paur, L. Koziol, P. Ravikovitch, H. Xu, X. Zou and T. Willhamar, Inorg. Chem., 2019, 58, 12854–12858 CrossRef CAS PubMed.
  19. X. Liu, W. Mao, J. Jiang, X. Lu, M. Peng, H. Xu, L. Han, S. Che and P. Wu, Chem. Eur. J., 2019, 25, 4520–4529 CrossRef CAS PubMed.
  20. D. Jo and S. B. Hong, Angew. Chem., Int. Ed., 2019, 58, 13845–13848 CrossRef CAS PubMed.
  21. G. Bergerhoff and I. D. Brown, in Crystallographic Databases, et al., F. H. Allen, International Union of Crystallography, Chester, 1987 Search PubMed.
  22. C. R. Groom, I. J. Bruno, M. P. Lightfoot and S. C. Ward, Acta Crystallogr., Sect. B: Struct. Sci., Cryst. Eng. Mater., 2016, 72, 171–179 CrossRef CAS.
  23. D. J. Earl and M. W. Deem, Ind. Eng. Chem. Res., 2006, 45, 5449–5454 CrossRef.
  24. E. L. First, C. E. Gounaris, J. Wei and C. A. Floudas, Phys. Chem. Chem. Phys., 2011, 13, 17339–17358 RSC.
  25. M. J. Sanders, M. Leslie and C. R. A. Catlow, J. Chem. Soc., Chem. Commun., 1984, 1271–1273 RSC.
  26. B. W. H. van Beest, G. J. Kramer and R. A. van Santen, Phys. Rev. Lett., 1990, 64, 1955–1958 CrossRef PubMed.
  27. J. D. Gale, J. Chem. Soc., Faraday Trans., 1997, 93, 629–637 RSC.
  28. V. A. Blatov, M. O'Keeffe and D. M. Proserpio, CrystEngComm, 2010, 12, 44–48 RSC.
  29. V. A. Blatov, E. V. Alexandrov and A. P. Shevchenko, Topology: ToposPro, in Reference Module in Chemistry, Molecular Sciences and Chemical Engineering, Elsevier, 2019,  DOI:10.1016/b978-0-12-409547-2.14576-7.
  30. M. O'Keeffe, M. A. Peskov, S. J. Ramsden and O. M. Yaghi, Acc. Chem. Res., 2008, 41, 1782–1789 CrossRef PubMed.
  31. E. V. Sokolova, V. B. Rybakov, L. A. Pautov and D. Y. Pushcharovskii, Dokl. Akad. Nauk SSSR, 1993, 332, 309–312 CAS.
  32. D. Fairen-Jimenez, S. A. Moggach, M. T. Wharmby, P. A. Wright and S. Parsons, J. Am. Chem. Soc., 2011, 133, 8900–8901 CrossRef CAS PubMed.
  33. B. Smit, Chimia, 2015, 69, 248–252 CrossRef CAS.

Footnote

Electronic supplementary information (ESI) available: A list of the IZA zeolites that are present in the PCOD. See DOI: 10.1039/d0ra01888k

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