Deep learning assisted anode porous transport layer inverse design for proton exchange membrane water electrolysis-Reference-Cited by-同舟云学术

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Deep learning assisted anode porous transport layer inverse design for proton exchange membrane water electrolysis

Published:2024-11 Issue: Volume:233 Page:126019
ISSN:0017-9310
Container-title:International Journal of Heat and Mass Transfer
language:en
Short-container-title:International Journal of Heat and Mass Transfer

Author:

Yang Xiaoxuan,Li Mingliang,Shen Jun,Liu Zhichun,Liu Wei,Long Rui^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. A review of technical advances, barriers, and solutions in the power to hydrogen (P2H) roadmap;Hu;Engineering,2020

2. Water-energy-carbon-cost nexus in hydrogen production, storage, transportation and utilization;Elaouzy;Int. J. Hydrogen Energy,2024

3. An overview of polymer electrolyte membrane electrolyzer for hydrogen production: modeling and mass transport;Abdol Rahim;J. Power Sources,2016

4. Simulation of an interdigitated flow channel assembled in a proton exchange membrane fuel cell (PEMFC);Valentín-Reyes;Int. J. Heat Mass Transf.,2022

5. Processing and surface modification of titanium open cell porous structures for PEM fuel cell bipolar plates;Romero;Int. J. Hydrogen Energy,2024

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