Abstract
High-Performance Fuel Cell Electrodes In article number 2300244, Zhiqiang Niu, Valerie J. Pinfield, Jin Xuan, and co-workers demonstrate an innovative performance-informed deep learning framework to enable the efficient and rational design and optimization of high-performance fuel cell electrodes. The proposed framework is successfully applied to two popular electrode design philosophies, i.e., forward and inverse design.
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