<scp>GAMaterial</scp> —A genetic‐algorithm software for material design and discovery-Reference-Cited by-同舟云学术

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GAMaterial —A genetic‐algorithm software for material design and discovery

Published:2022-11-29 Issue:7 Volume:44 Page:814-823
ISSN:0192-8651
Container-title:Journal of Computational Chemistry
language:en
Short-container-title:J Comput Chem

Author:

Lourenço Maicon Pierre¹^ORCID,Hostaš Jiří²^ORCID,Herrera Lizandra Barrios²,Calaminici Patrizia³^ORCID,Köster Andreas M.³^ORCID,Tchagang Alain⁴,Salahub Dennis R.²^ORCID

Affiliation:

1. Departamento de Química e Física – Centro de Ciências Exatas Naturais e da Saúde – CCENS – Universidade Federal do Espírito Santo Espírito Santo Brazil

2. Department of Chemistry, Department of Physics and Astronomy, CMS Centre for Molecular Simulation, IQST Institute for Quantum Science and Technology, Quantum Alberta University of Calgary Calgary Alberta Canada

3. Departamento de Química CINVESTAV México D.F. Mexico

4. Digital Technologies Research Centre National Research Council of Canada Ottawa Ontario Canada

Funder

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Computational Mathematics,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jcc.27043

Reference74 articles.

1. Structure and Properties of Atomic Nanoclusters

2. Super Atomic Clusters: Design Rules and Potential for Building Blocks of Materials

3. Minima hopping: An efficient search method for the global minimum of the potential energy surface of complex molecular systems

4. Optimization by Simulated Annealing

5. Implementation of the parallel-tempering molecular dynamics method in deMon2k and application to the water hexamer

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Determining best practices for using genetic algorithms in molecular discovery;The Journal of Chemical Physics;2023-09-01

2. QMLMaterial─A Quantum Machine Learning Software for Material Design and Discovery;Journal of Chemical Theory and Computation;2023-08-15

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