Data-efficient and interpretable long-term prognostics of PEMFC degradation via physics-constrained symbolic regression–physics-informed neural network

作者：Wenchao Zhu, Bowen Xu, Bingxin Guo, Changjun Xie, Rui Xiong · 发表于：eTransportation · 年份：2026 · DOI：10.1016/j.etran.2026.100615 · 被引用次数：6 · 研究领域：Fuel Cells and Related Materials、Electrocatalysts for Energy Conversion、Machine Learning and ELM