Suppr超能文献

规避双金属单层电催化剂上选择性CO还原的标度关系。

Circumventing the scaling relationship on bimetallic monolayer electrocatalysts for selective CO reduction.

作者信息

Zhao Zhonglong, Lu Gang

机构信息

School of Physical Science and Technology, Inner Mongolia University Hohhot 010021 China.

Department of Physics and Astronomy, California State University Northridge California 91330 USA

出版信息

Chem Sci. 2022 Mar 14;13(13):3880-3887. doi: 10.1039/d2sc00135g. eCollection 2022 Mar 30.

Abstract

Electrochemical conversion of CO into value-added chemicals continues to draw interest in renewable energy applications. Although many metal catalysts are active in the CO reduction reaction (CORR), their reactivity and selectivity are nonetheless hindered by the competing hydrogen evolution reaction (HER). The competition of the HER and CORR stems from the energy scaling relationship between their reaction intermediates. Herein, we predict that bimetallic monolayer electrocatalysts (BMEs) - a monolayer of transition metals on top of extended metal substrates - could produce dual-functional active sites that circumvent the scaling relationship between the adsorption energies of HER and CORR intermediates. The antibonding interaction between the adsorbed H and the metal substrate is revealed to be responsible for circumventing the scaling relationship. Based on extensive density functional theory (DFT) calculations, we identify 11 BMEs which are highly active and selective toward the formation of formic acid with a much suppressed HER. The H-substrate antibonding interaction also leads to superior CORR performance on monolayer-coated penta-twinned nanowires.

摘要

将CO电化学转化为高附加值化学品在可再生能源应用中持续引发关注。尽管许多金属催化剂在CO还原反应(CORR)中具有活性,但析氢反应(HER)的竞争仍然阻碍了它们的反应活性和选择性。HER和CORR的竞争源于它们反应中间体之间的能量标度关系。在此,我们预测双金属单层电催化剂(BMEs)——在扩展金属基底上的单层过渡金属——可以产生双功能活性位点,从而规避HER和CORR中间体吸附能之间的标度关系。吸附的H与金属基底之间的反键相互作用被揭示为规避标度关系的原因。基于广泛的密度泛函理论(DFT)计算,我们确定了11种BMEs,它们对甲酸的形成具有高活性和选择性,同时HER受到极大抑制。H-基底反键相互作用还导致在单层包覆的五重孪晶纳米线上具有优异的CORR性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bce/8966713/9c748ee1649c/d2sc00135g-f1.jpg

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