Application of artificial neural network and global optimization techniques for high throughput modeling of the crystal structure of stannites and kesterites. | J Comput Chem;42(11): 740-745, 2021 04 30. | MEDLINE

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Application of artificial neural network and global optimization techniques for high throughput modeling of the crystal structure of stannites and kesterites.

Matyszczak, Grzegorz; Zberecki, Krzysztof.

Affiliation

Matyszczak G; Faculty of Physics, Warsaw University of Technology, Warsaw, Poland.
Zberecki K; Faculty of Physics, Warsaw University of Technology, Warsaw, Poland.

J Comput Chem ; 42(11): 740-745, 2021 04 30.

Article in En | MEDLINE | ID: mdl-33583083

Key words

Uspex; artificial neural networks; density functional theory; kesterite; stannite

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2021 Document type: Article Affiliation country: Polonia Country of publication: Estados Unidos

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2021 Document type: Article Affiliation country: Polonia Country of publication: Estados Unidos