Suppr超能文献

Towards superior CORR catalysts: Deciphering the selectivity puzzle over dual-atom catalyst.

作者信息

Zhao Jia, Lin Sen

机构信息

State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350002, China.

State Key Laboratory of Photocatalysis on Energy and Environment, College of Chemistry, Fuzhou University, Fuzhou 350002, China.

出版信息

J Colloid Interface Sci. 2025 Feb 15;680(Pt B):257-264. doi: 10.1016/j.jcis.2024.11.080. Epub 2024 Nov 13.

Abstract

The electrocatalytic CO reduction reaction (CORR) is one of the most important electrocatalytic reactions. Starting from a well-defined *CO intermediate, the CORR can bifurcate into two pathways, either forming a hydrogenation product by *CO bond hydrogenation or leading to CO desorption by *C bond cleavage. However, it is perplexing why many dual-atom catalysts (DACs) exhibit high CO selectivity in experiments, despite previous theoretical studies arguing that the CO bond hydrogenation is thermodynamically more favorable than the C bond breaking. Furthermore, the selectivity is contingent upon the potential and is perturbed by the hydrogen evolution reaction (HER), which is far from clear. Using ab initio molecular dynamics and a "slow-growth" sampling method to evaluate the potential-dependent kinetics, we uncover the selectivity origin of CORR to CO on a typical NC-based DAC (CuFe-N-C). Importantly, the results show that at higher CO coverage, CO desorption kinetics are accelerated, while the competing CO bond hydrogenation reaction is inhibited at varying potentials. Furthermore, the selectivity of the HER is observed to increase as the potential decreases. However, at higher CO coverage, the energy barrier for the *C bond cleavage is lower than that for HER, suggesting that HER is suppressed on CuFe-N-C. Our work unlocks a long-standing puzzle about the selectivity of important DAC catalysts for CORR and provides insights for more effective catalyst design.

摘要

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验