Advancing next-generation proton exchange membrane fuel cell design through multi-physics and AI modeling
This Perspective identifies key challenges and opportunities of three-dimensional multi-physics and artificial intelligence modeling for predictive temporal multi-physics distribution, aiming to advance the development of next-generation fuel cells.
Authors
- Qiang Zheng (ORCID: https://orcid.org/0000-0002-9279-7779)
- Yichen Zhou (ORCID: https://orcid.org/0000-0002-7627-015X)
- Zhiguo Qu (ORCID: https://orcid.org/0000-0003-1469-6152)
- Yun Wang (ORCID: https://orcid.org/0000-0003-2035-3148)
- Guobin Zhang (ORCID: https://orcid.org/0000-0002-4922-4967)
- Ning Wang (ORCID: https://orcid.org/0009-0008-3884-9997)
Institutions
- University of California, Irvine (US)
- Ningbo Institute of Industrial Technology (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- Energy & Environmental Science
- Published
- 2025-11-21
- DOI
- https://doi.org/10.1039/d5ee04599a
- Citations
- 3
- Primary Topic
- Fuel Cells and Related Materials
- Type
- article
- Field-Weighted Citation Impact
- 2.19