π Learning: A Performance‐Informed Framework for Microstructural Electrode Design (Adv. Energy Mater. 17/2023)

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.