Artificial-intelligence-guided design of ordered gas diffusion layers for high-performing fuel cells via Bayesian machine learning

Abstract Rational design of gas diffusion layers (GDL) is an example of a long-standing pursuit to increase the power density and reduce the cost of proton exchange membrane fuel cells (PEMFC). However, current state-of-the-art GDLs are designed by trial-and-error, which is a time-consuming endeavor...

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Autori principali:	Jing Sun, Pengzhu Lin, Lin Zeng, Zixiao Guo, Yuting Jiang, Cailin Xiao, Qinping Jian, Jiayou Ren, Lyuming Pan, Xiaosa Xu, Zheng Li, Lei Wei, Tianshou Zhao
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2025-07-01
Serie:	Nature Communications
Accesso online:	https://doi.org/10.1038/s41467-025-61794-y
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