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

[Display omitted] •A novel framework is proposed for DIR-SOFC optimization.•A comprehensive parameter study is performed by developing a multi-physics model.•The surrogate model for fast prediction is built using a deep learning algorithm.•The Pareto fronts are obtained by the multi-objective geneti...

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