催化作用
电解质
电化学
还原(数学)
密度泛函理论
材料科学
双原子分子
电催化剂
合理设计
化学
氢
无机化学
化学工程
组合化学
氧化还原
纳米技术
航程(航空)
制氢
氧化还原
金属
作者
Yanyang Qin,Shishi Zhang,Fangyuan Wang,Yanhui Yu,Peng Rao,Yuanjun Zhao,Tiantian Wu,Xinlong Tian,Shujiang Ding,Yaqiong Su
出处
期刊:ACS Catalysis
[American Chemical Society]
日期:2026-01-20
卷期号:16 (3): 2484-2496
被引量:10
标识
DOI:10.1021/acscatal.5c07689
摘要
Diatomic catalysts (DACs), owing to their reduced cost, high efficiency, and good stability, have emerged as potential catalysts for electrochemical CO 2 reduction (CO 2 RR). While, further development of CO 2 RR DACs is hampered by the limited understanding of their dual-atom catalytic center. This study systematically screens nitrogen-doped graphene-based DACs by incorporating 13 metals by means of density functional theory calculations and machine learning. NiMn–N–C and SnNi–N–C have emerged as candidates for the CO 2 RR, facilitating the production of CO and HCOOH, respectively. The key finding is that NiMn–N–C exhibits catalytic stability over a wide range of pH values and applied potentials, particularly under strongly acidic conditions, compared with other reported DACs. While acidic CO 2 RR performance is hindered by DAC instability and competing hydrogen evolution, NiMn–N–C emerges as a candidate for efficient acidic CO 2 RR applications. The findings offer valuable insights into DAC operational principles, contributing to the rational design of highly efficient catalysts for pH-universal electrolyte CO 2 RR applications.
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