首页|Studies from Jilin University in the Area of Artificial Intelligence Reported (Lung-inspired Hybrid Flow Field o Enhance Pemfc Performance: a Case of Dual Optimization By Response Surface and Artificial Intelligence)
Studies from Jilin University in the Area of Artificial Intelligence Reported (Lung-inspired Hybrid Flow Field o Enhance Pemfc Performance: a Case of Dual Optimization By Response Surface and Artificial Intelligence)
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NETL
NSTL
Elsevier
Investigators discuss new findings in Artificial Intelligence. According to news originating from Changchun, People's Republic of China, by NewsRx correspondents, research stated, “The design and optimization of flow field play a crucial role in the development of proton exchange membrane fuel cells (PEMFC). This study presents a modular tri-layer lung-inspired hybrid flow field (LHFF) design that incorporates 2D and 3D flow field advantages.” Financial supporters for this research include Development Program of China, Jilin Provincial Science & Technology Department, Key Science and Technology R&D Projects of Jilin Province, Program of Jilin University Science and Technology Innovative Research Team, Fundamental Research Funds for the Central Universities.
ChangchunPeople’s Republic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine LearningJilin University
NETL
NSTL
Elsevier
