Machine learning enabled rational design of atomic catalysts for electrochemical reactions
电化学
催化作用
材料科学
合理设计
金属
纳米技术
化学
冶金
有机化学
物理化学
电极
作者
Lianping Wu,Teng Li
出处
期刊:Materials Chemistry Frontiers [The Royal Society of Chemistry] 日期:2023-01-01卷期号:7 (19): 4445-4459被引量:7
标识
DOI:10.1039/d3qm00661a
摘要
Atomic catalysts (ACs) with unique catalytic properties have emerged as promising high-performance catalysts because of their great potential for enabling the efficient use of metal resources and achieving atomic economy.