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http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png

Python Model PINN Fuel Cell v1.0.1

; ; ;

Ausgabev1.0.1

: Zenodo

Online
DOI: 10.5281/ZENODO.17143139


Einrichtungen

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



Dokumenttyp
Software

Format
online

Sprache
English

Interne Identnummern
RWTH-2025-09282
Datensatz-ID: 1020856

Beteiligte Länder
Germany

 GO

Related:

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 BibTeX | EndNote: XML, Text | RIS

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;
Leveraging the Capabilities of Physics-Informed Neural Networks for Channel Optimization in PEM Fuel Cells
[10.2139/ssrn.5500804]  GO BibTeX | EndNote: XML, Text | RIS

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412310
 Record created 2025-11-05, last modified 2026-02-13
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