Open AccessBond order predictions using deep neural networks
Author(s) -
Sergey Magedov,
Christopher Koh,
Walter Malone,
Nicholas Lubbers,
Benjamin Nebgen
Publication year - 2021
Publication title -
journal of applied physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.699
H-Index - 319
eISSN - 1089-7550
pISSN - 0021-8979
DOI - 10.1063/5.0016011
Subject(s) - artificial neural network , hamiltonian (control theory) , bond order , computer science , dipole , statistical physics , excited state , artificial intelligence , machine learning , molecule , algorithm , bond length , physics , quantum mechanics , mathematics , mathematical optimization
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