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Leveraging the Capabilities of Physics-Informed Neural Networks for Channel Optimization in PEM Fuel Cells

; ; ;

Online
DOI: 10.2139/ssrn.5500804


Einrichtungen

  1. Lehrstuhl für Thermodynamik mobiler Energiewandlungssysteme und Institut für Thermodynamik (412310)



Dokumenttyp
Preprint

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-09286
Datensatz-ID: 1020860

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Software  ;  ;  ;
Python Model PINN Fuel Cell v1.0.1
Zenodo () [10.5281/ZENODO.17143139]  GO BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;  ;  ;
Leveraging the capabilities of physics-informed neural networks for channel optimization in PEM fuel cells
Applied energy 409, 127478 () [10.1016/j.apenergy.2026.127478]  GO OpenAccess  Download fulltext Files BibTeX | EndNote: XML, Text | RIS

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Faculty of Mechanical Engineering (Fac.4)
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412310
 Record created 2025-11-05, last modified 2026-04-17
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