Discovering Electrochemistry with an Electrochemistry-Informed Neural Network (ECINN).

Chen, Haotian; Yang, Minjun; Smetana, Bedrich; Novák, Vlastimil; Matejka, Vlastimil; Compton, Richard G

Chen, Haotian; Yang, Minjun; Smetana, Bedrich; Novák, Vlastimil; Matejka, Vlastimil; Compton, Richard G.

Afiliación

Chen H; Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ, Oxford, UK.
Yang M; Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ, Oxford, UK.
Smetana B; Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, 70800, Ostrava-Poruba, Czech Republic.
Novák V; Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, 70800, Ostrava-Poruba, Czech Republic.
Matejka V; Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB-Technical University of Ostrava, 17. listopadu 2172/15, 70800, Ostrava-Poruba, Czech Republic.
Compton RG; Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ, Oxford, UK.

Angew Chem Int Ed Engl ; 63(13): e202315937, 2024 Mar 22.

Article en En | MEDLINE | ID: mdl-38179808

Palabras clave

Cyclic Voltammetr; Electrochemistry; Multi-Task Discovery; Physics-Informed Neural Networks; Tafel Analysis

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Angew Chem Int Ed Engl Año: 2024 Tipo del documento: Article País de afiliación: Reino Unido

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