This study optimizes performance in solid oxide fuel cells by integrating machine learning and multiphysical modeling, suggesting improved exploration of parameter space.
The optimization of the macro- and microstructures of traditional solid oxide fuel cells (SOFCs) faces the dual challenges of time-consuming experimental iterations and insufficient exploration of parameter space. This study...
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Duan et al. (2025) studied this question.
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