北京航空航天大学主页平台系统 Yakang Xia--Home-- Multi-objective optimization of supercritical carbon dioxide Brayton cycles using Bayesian physics-informed neural networks: A comprehensive analysis of energy, exergy, economic, and environmental performance

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Multi-objective optimization of supercritical carbon dioxide Brayton cycles using Bayesian physics-informed neural networks: A comprehensive analysis of energy, exergy, economic, and environmental performance

Release time:2025-12-19 Hits:

Journal:Energy

Indexed by:Journal paper

Issue:339

Page Number:139033

Translation or Not:no

Included Journals:SCI

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Yakang Xia

Gender:Male Education Level:博士研究生 Alma Mater:University of British Columbia，Canada Status:Employed School/Department:Beihang University Business Address:北航沙河校区主楼C座10层 Contact Information:yakang_xia@buaa.edu.cn

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Multi-objective optimization of supercritical carbon dioxide Brayton cycles using Bayesian physics-informed neural networks: A comprehensive analysis of energy, exergy, economic, and environmental performance