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Predicting Voltammetry Using Physics-Informed Neural Networks
Author(s) -
Haotian Chen,
Enno Kätelhön,
Richard G. Compton
Publication year - 2022
Publication title -
the journal of physical chemistry letters
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 2.563
H-Index - 203
ISSN - 1948-7185
DOI - 10.1021/acs.jpclett.1c04054
Subject(s) - discretization , voltammetry , electrode , cyclic voltammetry , diffusion , boundary (topology) , mathematical analysis , analytical chemistry (journal) , materials science , mathematics , physics , chemistry , thermodynamics , electrochemistry , chromatography

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