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Predicting metal–metal interactions. II. Accelerating generalized schemes through physical insights
Author(s) -
Tej S. Choksi,
Verena Streibel,
Frank AbildPedersen
Publication year - 2020
Publication title -
the journal of chemical physics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.5141378
Subject(s) - density functional theory , stability (learning theory) , atom (system on chip) , catalysis , materials science , metal , nanoparticle , adsorption , chemical physics , alloy , transition metal , computational chemistry , nanotechnology , chemistry , computer science , machine learning , metallurgy , biochemistry , embedded system

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