Literature DB >> 35515631

Nanoporous materials with predicted zeolite topologies.

Vladislav A Blatov1,2, Olga A Blatova1,2, Frits Daeyaert3,4, Michael W Deem3,5.   

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. This journal is © The Royal Society of Chemistry.

Entities:  

Year:  2020        PMID: 35515631      PMCID: PMC9053620          DOI: 10.1039/d0ra01888k

Source DB:  PubMed          Journal:  RSC Adv        ISSN: 2046-2069            Impact factor:   4.036


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 database[8] 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 package[16] 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 (ICOD[21]) and the Cambridge Structural Database (CSD[22]) 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, SLC[25] and BKS,[26] using the GULP program.[27] Of the thus obtained 2.7 million topologically unique, energy minimized structures, 313 565 were no higher in energy than 30 kJ (mol Si)−1 relative to quartz using the SLC force field, and 585 139 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.

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.

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

PCODNumber of structuresICSD ref. code (example)Formula (example)Underlying topology
PCOD80000223649829NaAlSi3O8 fel
PCOD83222223521109SiO2 lon
PCOD8249897 27433765Na(FeO2) dia
PCOD8149775202237135Al4Fe2Si5O18 brl
PCOD83227679723371Na2Mg5Si12O304,4T45
PCOD80293447987538Na4(Al3Si9O24)Cl sca
PCOD816763857170497SiO2 pcl
PCOD8128122 5274860LiAl(PO3)4 mog
PCOD8046833 4920208Li3(PO4) deh2
PCOD81479924618112SiO2 coe
PCOD8171653 17180997Ca(Al2O4) byl
PCOD8128676 1374808KCo(PO4) tpd
PCOD8033784 10246132Li2Fe(SiO4)4,4,4,4T130
PCOD8249812 941661CaAl2O4 cag
PCOD8157925968772K(AlSi2O6) kea
PCOD8308057 5195287Au(PO4) pts
PCOD81524844156657BaNa2(AlSiO4)4 bnl
PCOD8129062 4191544Li2Mn(SiO4) sie
PCOD8128656 3171001BaFe2O4 baf
PCOD8321582 3151369Ca3(Al2O6) nbo
PCOD8170506375659SiO2 irl
PCOD8045579 233279Na2Li3(FeO4) sqc8104
PCOD83023082170516SiO2 tzs
PCOD8000219 2173216Li3(VO4)(H2O)6 afw
PCOD8046854 2380488KBSi2O64,4,4T91
PCOD8129307 11291Be(PO3)24,4,4T159
PCOD8048022156684SiO24,4T39
PCOD8154928 160069LiK(PO3)2 zsn
PCOD8255081162584SiO24,4,4,4T15
PCOD8166122162585SiO24,4,4,4T14
PCOD8325712 163414Na2.67K1.33Zn4(PO4)44,4,4T148
PCOD8000277175653SiO2 unc
PCOD8128689175664SiO2 bbe
PCOD8000217 179705K2(ZnSi2O6) bbi
PCOD8037080 179705K2(ZnSi2O6)4,4,4,4,4T4
PCOD8128125 183427Na2Zn(Si2O6) bbm
PCOD8189369183861SiO24,4,4,4,4T3
PCOD8323349189700SiO2 bam
PCOD8000118191681Al(PO4) bcq
PCOD8163521192721(Mg0.917Fe0.083)2Na0.084(Al3.970Fe0.038Si4.992)O18(H2O)0.38(CO2)0.192 mot-e
PCOD83076801170479SiO2 wse
PCOD81232151170480SiO2 dei
PCOD83216161170493SiO2 umk
PCOD80095461170498SiO2 umq
PCOD81709661170499SiO2 umi
PCOD83308941170512SiO2 cbo
PCOD83082851170526SiO2 uot
PCOD83080731170528SiO2 uox
PCOD81696431170534SiO2 ukb
PCOD83019741170541SiO24/5/t1
PCOD82970801170543SiO2 lcs
PCOD81294871170545SiO2 gsi
PCOD81232001170546SiO2 mmt
PCOD80455731170547SiO2 neb
PCOD82648881173625Al15.68(Si41.1Al6.9)O964,4,4,4T127
PCOD8003420 1170960Rb4(UO2)2(Si8O20)4,4,4,4,4T7
PCOD83083781261103K3.33(C2H5)C1.5(Be2Si12O33.7) ksx
PCOD8328203 192822NaB(SiO4)4,4,4T24-CA
PCOD8185681 8167183Zn(SiO3)4,4,4T5318-HZ
PCOD8120181 44362NaK(CuSi4O10)4,4,4T4043-HZ
PCOD81703482162489K(AlSiO4)4,4,4T5003-HZ
PCOD8124771 2410869K(ZnBP2O8)4,4T1080-HZ
PCOD828338122116Na6FeSi8Al4O264,4,4T6294-HZ
PCOD8127150120797K2BeSi4O104,4,4,4,4T243508-HZ
PCOD8052206133924H(AlSi4O10)4,4T1048-HZ
PCOD8308516 159846Zn(PO3)24,4,4T6862-HZ
PCOD8321753 165475Li3K3(P6O18)(H2O)4,4T1321-HZ
PCOD8099926185474Si56O1124,4,4,4,4,4,4T28511-HZ
PCOD8321730 185734Li6(P6O18)(H2O)34,4T1319-HZ
PCOD8071670186548SiO24,4,4,4,4,4T6819-HZ
PCOD8308593186549SiO24,4,4T6867-HZ
PCOD8168418 1411142Na0.75(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.

MOF topologies from the CSD found in the PCOD. The entries with a bold PCOD number are also known IZA zeolite topologies

PCOD codeUnderlying topologyIZA codeNumber of structuresCSD ref. code (example)
PCOD8249897 dia 2291XEYXUW
PCOD8308057 pts 632AVIVAC
PCOD8128122 mog 299PUZBES
PCOD8321582 nbo 258TANNUU
PCOD8321332 sod SOD186XIZDER
PCOD8067826 crb BCT120PUMNIV
PCOD8000282 gis GIS96DIZJED
PCOD8322222 lon 85FIPXAF
PCOD8171811 bbf 70QAVDEW
PCOD8249812 cag 51KOTPUG
PCOD8000277 unc 41VAHWOS02
PCOD8045573 neb 40ANUPIK
PCOD8162585 dft DFT22HIFVOI
PCOD8297080 lcs 22GIZJUV
PCOD8306957 rho RHO20MECWOH
PCOD8321454 uni 20DIVPUU
PCOD8077978 gme GME16RIRDAZ
PCOD8164109 frl 15VEPBOK
PCOD8170506 irl 14DEXXOU
PCOD8000219 afw 11DAGFUP
PCOD8068050 cha CHA11NIRKAB
PCOD8238986 THO10BEFNAD
PCOD8123200 mmt 10DUWREU
PCOD8308045 ana ANA10GUPDOL
PCOD8306691 mer MER8EWENUR
PCOD8170814 npo NPO7SODKIH
PCOD8308796 SAV6LOFZUB
PCOD8308791 edi EDI6XAQTOY01
PCOD8117704 LAU5YOMVIG
PCOD8123215 dei 5TOBQAE01
PCOD8115801 ast AST5IRUROC
PCOD8001707 can CAN5PAJSAX
PCOD8307996 fau FAU5XEQNIQ
PCOD8304448 mtn MTN4GAQYIH
PCOD81601064,4T674QUDKIK
PCOD8122541 OWE4BEFNOR
PCOD8307029 asv ASV4GOMSUW
PCOD8324721 unj 4UFAQIE
PCOD8129487 gsi 4ZUYWAR
PCOD8077973 cgs CGS3DEPTOH
PCOD8077922 cfc 3XACFAJ
PCOD8227613 bbh 3ADECEU
PCOD81238764,4,4,4,4,4T103EXOKIM
PCOD8052570 pcb ACO3DEJROB
PCOD80558584,4T1333TAXHUX
PCOD81639604,4T853WUPTIM
PCOD8163521 mot-e3FIWJIG
PCOD8125027 4,4,4,4,4,4,4,4T11JNT3SOQJIT01
PCOD8095118 lev LEV3TOFWEQ
PCOD8331046 sdt 2ALIBUT
PCOD8330894 cbo 2DOLWEI
PCOD8047042 noq 2LATCIS
PCOD81264014,4,4,4T112AMBZAG10
PCOD8085224 sas SAS2VAHSIH
PCOD80454844,4T102BOSCET
PCOD8321918 afx AFX2OSUSAY
PCOD8156657 JRY2MORZID
PCOD8167638 pcl 2RIDKOE
PCOD8117232 JSN2DARJOX
PCOD8295280 SAF2SUSZIQ
PCOD8248916 JSW2HATSEC
PCOD8077977 AEI2BEFPAF
PCOD8128125 bbm 2MUNQIX
PCOD8124791 ucn SBN2FIGQIV
PCOD83238924,4T1482RIRDED
PCOD8169309 bik BIK2YOMBOS
PCOD8185531 bbg 1MUDHOK
PCOD8171792 cdp 1ZAYFEN
PCOD8217418 stc-4,4-Ccce1PUWQAA
PCOD80470714,4,4T1621OKUWOI
PCOD8123892P fsg-4,4-Cmmm1XUNTEH01
PCOD8156062 cus 1XUNSOQ
PCOD8324445 afi AFI1IMIDZB13
PCOD82552164,4,4T2061KALXUT
PCOD8041061 ukn 1OBAWOG
PCOD8308449 kat1 1OFERUN08
PCOD8056793 phi PHI1BEFMAC
PCOD8307701 kfi KFI1JILWOR
PCOD81292054,4T1011PAPHOF
PCOD80470254,4,4T331MUPLAL
PCOD8324260 SFW1OSUSIG
PCOD80002354,4T1461NIJTUX
PCOD8146884 Sqc9731DOKJIX
PCOD8054148 afy AFY1COQNIF
PCOD8302308 tzs 1OXEVOE
PCOD81251664,4,4T431DOHBAE
PCOD81250204,4,4,4,4,4,4,4T181SUWZUH
PCOD8324829 MEI1YUTFAW
PCOD8078892 USI1IJIGOX
PCOD81186044,4T161TOQBUW
PCOD81269744,4,4,4T721SOCJUR
PCOD81113774,4T1681QUMJAL
PCOD81293074,4,4T1591MURFEM
PCOD80543124,4T211GIMWAB
PCOD8095768 sat SAT1PAQJUM
PCOD83055044,4,4T601HABREJ
PCOD83088854,4T1311QUBWIU
PCOD8308885 zec 1HICGEG
PCOD8129062 sie 1BEFLUW
PCOD8123580 ZON1NETRIN
PCOD8121794 sqc38481CODSOF
PCOD81113804,4T231ICIZAV
PCOD8128437 sta-4,4-Cccm1EMAYUM
PCOD81229134,4T2551VALVEM
PCOD8125830 AFN1AXUPEO
PCOD81349584,4,4T681LUZZEM
PCOD8187865 itv 1GUPCUQ02
PCOD80474184,4T461BOQTEI
PCOD8187185 umr 1SAZPOB
PCOD8056515 ntn 1USOXIL
PCOD8011377 jbw JBW1IGUCIX
PCOD8171653 byl 1GUKLOO
PCOD8308073 uox 1WEMWAP
PCOD81368924,4,4,4T51NISPEL
PCOD80144034,4,4,4,4,4T11IGEXUN
PCOD80361444,4,4T811QUPHOZ
PCOD8228636 att ATT1FECCIZ
PCOD8076973 BOF1BAXMUI
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.

MOFs from the CSD, which possess IZA zeolite topologies, but which are not contained in the PCOD

IZA codeNumber of structuresCSD ref. code (example)
ABW397LABPIP
ATN8EYUKOZ
BSV7XUWTEO
CGF1NIVRAL
-CLO1ZAZNUL
CZP2XUWSUD
DFO2SIHFAQ
-LIT1GADWAL
LTA8HITYEP
PUN1RUMXUT
RWY10MUNBAY
SOS2MANKIW
WEI3FAHQEN

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.
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Authors:  Richard L Martin; Cory M Simon; Berend Smit; Maciej Haranczyk
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Authors:  Elina Kapaca; Allen Burton; Eugene Terefenko; Hilda Vroman; Simon C Weston; Meghan Kochersperger; Mobae Afeworki; Charanjit Paur; Lucas Koziol; Peter Ravikovitch; Hongyi Xu; Xiaodong Zou; Tom Willhammar
Journal:  Inorg Chem       Date:  2019-09-12       Impact factor: 5.165

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Authors:  Donghui Jo; Suk Bong Hong
Journal:  Angew Chem Int Ed Engl       Date:  2019-08-19       Impact factor: 15.336

7.  Opening the gate: framework flexibility in ZIF-8 explored by experiments and simulations.

Authors:  D Fairen-Jimenez; S A Moggach; M T Wharmby; P A Wright; S Parsons; T Düren
Journal:  J Am Chem Soc       Date:  2011-05-19       Impact factor: 15.419

8.  In silico screening of carbon-capture materials.

Authors:  Li-Chiang Lin; Adam H Berger; Richard L Martin; Jihan Kim; Joseph A Swisher; Kuldeep Jariwala; Chris H Rycroft; Abhoyjit S Bhown; Michael W Deem; Maciej Haranczyk; Berend Smit
Journal:  Nat Mater       Date:  2012-05-27       Impact factor: 43.841

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Journal:  Nat Mater       Date:  2004-03-28       Impact factor: 43.841

10.  High-Throughput Screening Approach for Nanoporous Materials Genome Using Topological Data Analysis: Application to Zeolites.

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Journal:  J Chem Theory Comput       Date:  2018-07-30       Impact factor: 6.006

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