Microstructure-informed performance boost in solid oxide fuel cells through multiphysical modeling and machine learning

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Publication Details

Journal
Journal of Materials Chemistry A
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ta03421c
Citations
4
Primary Topic
Advancements in Solid Oxide Fuel Cells
Type
article
Field-Weighted Citation Impact
2.07
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article

Microstructure-informed performance boost in solid oxide fuel cells through multiphysical modeling and machine learning

Zehua Pan, Zilin Yan, Li Duan, Zheng Zhong
4 citations
Journal of Materials Chemistry A
Advancements in Solid Oxide Fuel Cells
2.07
article

Microstructure-informed performance boost in solid oxide fuel cells through multiphysical modeling and machine learning

Zehua Pan, Zilin Yan, Li Duan, Zheng Zhong
article en
4 citations

Abstract

No abstract available for this paper.
Journal of Materials Chemistry AVol. 13(34)
Harbin Institute of Technology (CN)
Openalex Percentile: Top 13%
Advancements in Solid Oxide Fuel Cells
2.07
DOISourceOpenAlex
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Microstructure-informed performance boost in solid oxide fuel cells through multiphysical modeling and machine learning — Zehua Pan, Zilin Yan, et al. · Journal of Materials Chemistry A (2025) | TGRS Research Map | TGRS