Zeolite structure determination using genetic algorithms and geometry optimisation-Reference-Cited by-同舟云学术

Zeolite structure determination using genetic algorithms and geometry optimisation

Published:2018 Issue: Volume:211 Page:103-115
ISSN:1359-6640
Container-title:Faraday Discussions
language:en
Short-container-title:Faraday Discuss.

Author:

Liu Xuehua¹²³⁴,Valero Soledad¹²³⁴^ORCID,Argente Estefanía¹²³⁴,Sastre German⁵²³⁴^ORCID

Affiliation:

1. Departamento de Sistemas Informaticos y Computacion

2. Universitat Politècnica de València

3. 46022 Valencia

4. Spain

5. Instituto de Tecnologia Quimica U.P.V.-C.S.I.C

Abstract

The recently presented software zeoGAsolver is discussed, which is based on genetic algorithms, with domain-dependent crossover and selection operators that maintain the size of the population in successive iterations while improving the average fitness.

Funder

Ministerio de Economía y Competitividad

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2018/FD/C8FD00035B

Reference48 articles.

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3. Tiling Space by Platonic Solids, I

4. Systematic enumeration of crystalline networks

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