Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Vasudevan, Rama K; Choudhary, Kamal; Mehta, Apurva; Smith, Ryan; Kusne, Gilad; Tavazza, Francesca; Vlcek, Lukas; Ziatdinov, Maxim; Kalinin, Sergei V; Hattrick-Simpers, Jason

Vasudevan, Rama K; Choudhary, Kamal; Mehta, Apurva; Smith, Ryan; Kusne, Gilad; Tavazza, Francesca; Vlcek, Lukas; Ziatdinov, Maxim; Kalinin, Sergei V; Hattrick-Simpers, Jason.

Afiliação

Vasudevan RK; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN 37831, USA.
Choudhary K; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Mehta A; Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, CA 94025.
Smith R; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Kusne G; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Tavazza F; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Vlcek L; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.
Ziatdinov M; Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge TN 37831, USA.
Kalinin SV; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge TN 37831, USA.
Hattrick-Simpers J; Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899.

MRS Commun ; 9(3)2019.

Article em En | MEDLINE | ID: mdl-32166045

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MRS Commun Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos

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