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:4
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 CO2 reduction (CO2RR). While, further development of CO2RR 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 CO2RR, 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 CO2RR performance is hindered by DAC instability and competing hydrogen evolution, NiMn–N–C emerges as a candidate for efficient acidic CO2RR applications. The findings offer valuable insights into DAC operational principles, contributing to the rational design of highly efficient catalysts for pH-universal electrolyte CO2RR applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI