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Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning.
Wang, Ying Da; Meyer, Quentin; Tang, Kunning; McClure, James E; White, Robin T; Kelly, Stephen T; Crawford, Matthew M; Iacoviello, Francesco; Brett, Dan J L; Shearing, Paul R; Mostaghimi, Peyman; Zhao, Chuan; Armstrong, Ryan T.
Afiliação
  • Wang YD; School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
  • Meyer Q; School of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia. q.meyer@unsw.edu.au.
  • Tang K; School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
  • McClure JE; National Security Institute, Virginia Tech, Blacksburg, VA, 24061, USA.
  • White RT; Carl Zeiss X-ray Microscopy, ZEISS Innovation Center California, Dublin, CA, 94568, USA.
  • Kelly ST; Carl Zeiss X-ray Microscopy, ZEISS Innovation Center California, Dublin, CA, 94568, USA.
  • Crawford MM; Fuel Cell Store, Bryan, TX, 77807, USA.
  • Iacoviello F; Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, London, WC1E 7JE, UK.
  • Brett DJL; Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, London, WC1E 7JE, UK.
  • Shearing PR; Electrochemical Innovation Lab, Department of Chemical Engineering, University College London, London, WC1E 7JE, UK.
  • Mostaghimi P; School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
  • Zhao C; School of Chemistry, University of New South Wales, Sydney, NSW, 2052, Australia. chuan.zhao@unsw.edu.au.
  • Armstrong RT; School of Minerals and Energy Resources Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. ryan.armstrong@unsw.edu.au.
Nat Commun ; 14(1): 745, 2023 Feb 14.
Article em En | MEDLINE | ID: mdl-36788206
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article