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Coupling deep learning and multi-objective genetic algorithms to achieve high performance and durability of direct internal reforming solid oxide fuel cell

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 2022 China (People's Republic of), China (People's Republic of), Hong Kong Publisher:Elsevier BVJournal:Applied Energy, volume 315, page 119,046 (issn: 0306-2619,

Authors: Wang, Y; Wu, C; Zhao, S; Wang, J; Zu, B; Han, M; Du, Q; +2 Authors

doi: 10.1016/j.apenergy.2022.119046

handle: 10397/94165

Coupling deep learning and multi-objective genetic algorithms to achieve high performance and durability of direct internal reforming solid oxide fuel cell

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Abstract

202208 bcch ; RGC ; Published ; 24 months ; Green (AAM)

Countries

China (People's Republic of), China (People's Republic of), Hong Kong

Related Organizations

Tsinghua University
China (People's Republic of)
Tianjin Internal Combustion Engine Research Institute
China (People's Republic of)
Hong Kong Polytechnic University
China (People's Republic of)
Hong Kong Polytechnic University (香港理工大學)
Hong Kong
Hong Kong Polytechnic University (香港理工大學)
China (People's Republic of)

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Keywords

Multi-objective optimization, Global sensitivity analysis, Solid oxide fuel cell, Carbon deposition, Deep learning

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	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	29
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%

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Fields of Science (3) View all

engineering and technology

electrical engineering, electronic engineering, information engineering

Fields of Science

engineering and technology

electrical engineering, electronic engineering, information engineering

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Related to Research communities

Energy Research