Quantifying Chemical Structure and Machine-Learned Atomic Energies in Amorphous and Liquid Silicon.

Bernstein, Noam; Bhattarai, Bishal; Csányi, Gábor; Drabold, David A; Elliott, Stephen R; Deringer, Volker L

Bernstein, Noam; Bhattarai, Bishal; Csányi, Gábor; Drabold, David A; Elliott, Stephen R; Deringer, Volker L.

Afiliación

Bernstein N; Center for Materials Physics and Technology, U.S. Naval Research Laboratory, Washington, DC, 20375, USA.
Bhattarai B; Department of Physics and Astronomy, Ohio University, Athens, OH, 45701, USA.
Csányi G; Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.
Drabold DA; Department of Physics and Astronomy, Ohio University, Athens, OH, 45701, USA.
Elliott SR; Department of Chemistry, University of Cambridge, Cambridge, CB2 1EW, UK.
Deringer VL; Department of Engineering, University of Cambridge, Cambridge, CB2 1PZ, UK.

Angew Chem Int Ed Engl ; 58(21): 7057-7061, 2019 May 20.

Article en En | MEDLINE | ID: mdl-30835962

Palabras clave

amorphous materials; computational chemistry; continuous random networks; machine learning; silicon

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Angew Chem Int Ed Engl Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Alemania

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