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锚定在氮掺杂二维NbSe上的单原子催化剂用于高选择性将CO还原为甲烷的计算研究

Computational Investigation of Single-Atom Catalysts Anchored on Nitrogen-Doped Two-Dimensional NbSe for Highly Selective CO Reduction to Methane.

作者信息

Wang Hao, Jin Wei, Sun Dechuan, Liu Tong, Ding Changchun, Hu Junshan

机构信息

School of science, Key Laboratory of High Performance Scientific Computation, Xihua University, Chengdu 610039, China.

出版信息

Langmuir. 2025 Aug 19;41(32):21380-21391. doi: 10.1021/acs.langmuir.5c01839. Epub 2025 Aug 5.

Abstract

The electrochemical CO reduction reaction (CORR) is a promising approach for CO emission reduction, but the development of efficient catalysts remains a major challenge. Here, a series of transition metal/nitrogen-doped NbSe (TM@N-NbSe) catalysts were selected to systematically investigate the reaction process and catalytic mechanism involved in the conversion of CO to methane (CH) through density functional theory (DFT) calculations. The results indicate that CO has two possible adsorption configurations on TM@N-NbSe surfaces, namely, physisorption and chemisorption. During the CO chemical adsorption process, a significant amount of charge is transferred from the substrate to CO, thereby activating the formation of CO into a bent structure. In contrast, physically adsorbed CO cannot accept electrons from the substrate, resulting in minimal interaction between CO and the TM@N-NbSe. According to the reaction pathway and limiting potentials, the catalytic activity of TM@N-NbSe for CO-to-CH conversion can be ranked in the following order: Co > Ir > Pd > Cu > Os > Fe > Rh > Pt > Ag > Ru > Ni > Au. Among them, Co@N-NbSe exhibited more prominent catalytic properties, and the free energy change required to be overcome during the conversion of CO to CH is only 0.22 eV. Most TM@N-NbSe systems exhibit higher selectivity for the CORR compared to the hydrogen evolution reaction, making them promising candidates as CORR catalysts. This study reveals the mechanism of transition metal and nitrogen codoped two-dimensional materials in CORR, which will help to screen high-efficiency catalysts to improve efficiency and selectivity.

摘要

电化学CO还原反应(CORR)是一种很有前景的减少CO排放的方法,但开发高效催化剂仍然是一项重大挑战。在此,通过密度泛函理论(DFT)计算,选择了一系列过渡金属/氮掺杂的NbSe(TM@N-NbSe)催化剂,系统地研究了CO转化为甲烷(CH)所涉及的反应过程和催化机理。结果表明,CO在TM@N-NbSe表面有两种可能的吸附构型,即物理吸附和化学吸附。在CO化学吸附过程中,大量电荷从基底转移到CO,从而激活了CO形成弯曲结构。相比之下,物理吸附的CO不能从基底接受电子,导致CO与TM@N-NbSe之间的相互作用最小。根据反应路径和极限电位,TM@N-NbSe对CO转化为CH的催化活性可按以下顺序排列:Co>Ir>Pd>Cu>Os>Fe>Rh>Pt>Ag>Ru>Ni>Au。其中,Co@N-NbSe表现出更突出的催化性能,CO转化为CH过程中需要克服的自由能变化仅为0.22 eV。与析氢反应相比,大多数TM@N-NbSe体系对CORR表现出更高的选择性,使其成为CORR催化剂的有希望的候选者。本研究揭示了过渡金属和氮共掺杂二维材料在CORR中的作用机制,这将有助于筛选高效催化剂以提高效率和选择性。

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