Published in

Royal Society of Chemistry, CrystEngComm, 15(17), p. 2913-2924, 2015

DOI: 10.1039/c4ce02418d

Links

Tools

Export citation

Search in Google Scholar

New knowledge and tools for crystal design: local coordination versus overall network topology and much more

This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

The problem of predicting crystal structures is discussed in the context of artificial intelligence systems. The steps of creation of an expert system are considered as applied to crystal design, where the crucial step is invention of new structure descriptors. A number of such descriptors proposed quite recently are listed; most of them characterize local coordination or overall topology of the structure network. An important part of the expert system is the knowledge database that contains correlations between the descriptors; it is used by a computer analyzer, the inference machine, to make a conclusion about possibility of obtaining a particular structure motif. All the steps of developing the expert system are illustrated with the analysis of 811 cyanide complexes and examples of the structure prediction are given.