Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning

Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean electricity and water, suffer acute liquid water challenges. Accurate liquid water modelling is inherently challenging due to the multi-phase, multi-component, reactive dynamics within multi-scale, multi-layered por...

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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929041/
https://www.ncbi.nlm.nih.gov/pubmed/36788206
http://dx.doi.org/10.1038/s41467-023-35973-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9929041/
https://www.ncbi.nlm.nih.gov/pubmed/36788206
http://dx.doi.org/10.1038/s41467-023-35973-8

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