Machine learning-driven breakthroughs in water electrolysis and supercapacitors

作者：Diab Khalafallah, Fuming Lai, Hao Huang, Jue Wang, Xiaoqing Wang, Shengfu Tong, Qinfang Zhang · 发表于：Materials Chemistry Frontiers · 年份：2025 · DOI：10.1039/d5qm00326a · 被引用次数：16 · 研究领域：Fuel Cells and Related Materials、Electrocatalysts for Energy Conversion、Machine Learning in Materials Science

ML has revolutionized the field of materials science by expediting discovery and optimization procedures. ML algorithms monitor enormous datasets, thereby predicting novel nanomaterials with tailored properties for breakthroughs in nanotechnology.