Materials Informatics 2019
DOI: 10.1002/9783527802265.ch4
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From Topological Descriptors to Expert Systems: A Route to Predictable Materials

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Cited by 3 publications
(1 citation statement)
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“…31–38 These characteristics and relations compose the knowledge base for coordination compounds and enable the prediction of topologies and geometries of new structures constructed from topologically similar SBUs which is a goal of reticular chemistry. 39–45 Therefore, we used ToposPro in screening the Cambridge Structural Database (CSD) for Cu( i , ii ) (mainly Cu( ii )) coordination compounds with heterocyclic ligands containing N -oxide groups (O←NC 2 ), which enables us to make their topological analysis and use the topological relations in the design of new coordination networks with 1-hydroxoimidazole-3-oxides as ligands and Cu( ii ) as the coordination center.…”
Section: Introductionmentioning
confidence: 99%
“…31–38 These characteristics and relations compose the knowledge base for coordination compounds and enable the prediction of topologies and geometries of new structures constructed from topologically similar SBUs which is a goal of reticular chemistry. 39–45 Therefore, we used ToposPro in screening the Cambridge Structural Database (CSD) for Cu( i , ii ) (mainly Cu( ii )) coordination compounds with heterocyclic ligands containing N -oxide groups (O←NC 2 ), which enables us to make their topological analysis and use the topological relations in the design of new coordination networks with 1-hydroxoimidazole-3-oxides as ligands and Cu( ii ) as the coordination center.…”
Section: Introductionmentioning
confidence: 99%