Machine learning-assisted design of metal–organic frameworks for hydrogen storage: A high-throughput screening and experimental approach

已完结 10 由豆子大王发布于 2025/10/27 11:16:58

DOI:10.1016/j.cej.2025.160766
作者：Wan-Tae Kim, Weon-Gyu Lee, Hong-Eun An, Hiroyasu Furukawa, WooSeok Jeong, Sung-Chul Kim, Jeffrey R. Long, Sohee Jeong, Jung-Hoon Lee
文献类型：期刊论文
补充材料：只需要正文

Elsevier

Abstract：Various theoretical approaches, including big data and high-throughput screening techniques, have been explored in developing new materials due to their significant potential time-saving adv

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