Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence

The utilization of environmentally friendly hydrogen energy requires proton exchange membrane fuel cell devices that offer high power output while remaining affordable. However, the current optimization of their key component, i.e., the membrane electrode assembly, is still based on intuition-guided...

Description complète

Détails bibliographiques

Auteurs principaux:	Rui Ding, Wenjuan Yin, Gang Cheng, Yawen Chen, Jiankang Wang, Ran Wang, Zhiyan Rui, Jia Li, Jianguo Liu
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2021-09-01
Collection:	Energy and AI
Sujets:	Machine learning Proton exchange membrane fuel cells Artificial intelligence Membrane electrode assembly Multiphysics simulation
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2666546821000513
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!