Quantifying Chemical Structure and Machine‐Learned Atomic Energies in Amorphous and Liquid Silicon-Reference-Cited by-同舟云学术

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

Published:2019-04-17 Issue:21 Volume:131 Page:7131-7135
ISSN:0044-8249
Container-title:Angewandte Chemie
language:en
Short-container-title:Angew. Chem.

Author:

Bernstein Noam¹,Bhattarai Bishal²,Csányi Gábor³,Drabold David A.²^ORCID,Elliott Stephen R.⁴,Deringer Volker L.³⁴^ORCID

Affiliation:

1. Center for Materials Physics and Technology U.S. Naval Research Laboratory Washington DC 20375 USA

2. Department of Physics and Astronomy Ohio University Athens OH 45701 USA

3. Department of Engineering University of Cambridge Cambridge CB2 1PZ UK

4. Department of Chemistry University of Cambridge Cambridge CB2 1EW UK

Funder

Office of Naval Research

National Science Foundation

Leverhulme Trust

Isaac Newton Trust

Engineering and Physical Sciences Research Council

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ange.201902625

Reference62 articles.

1.

2. Computer Generation of Structural Models of Amorphous Si and Ge

3. Computer model of tetrahedral amorphous diamond

4.

5. Defects in Amorphous Silicon: A New Perspective

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