Multi-objective optimization of solid oxide electrolysis cell efficiency and thermal gradient using an active-learning–CFD hybrid framework

Applied Thermal Engineering 2026

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Authors: Hoseob Lee, Jaewon Baek, Yonggyun Bae, Mingi Choi

DOI: 10.1016/j.applthermaleng.2026.132115

Cited by: 1

References: 28

Fields of Study & Subjects

Advancements in Solid Oxide Fuel Cells Chemical Looping and Thermochemical Processes Machine Learning in Materials Science

References 28