Decoding Hydrogen-Affinity-Controlled Surface State Evolution in Sn-Based Single-Atom Alloys for CO2 Electroreduction

IF 4.4 2区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
Langmuir Pub Date : 2026-10-20 Epub Date: 2026-10-06 DOI:10.1021/acs.langmuir.6c04524
Ruirui Ren, Huitao Fan, Yuhang Wang, Hao Li
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Abstract

The catalytic role of heteroatom dopants in Sn-based electrocatalysts remains elusive because the dynamic evolution of surface states under electrochemical conditions is rarely considered. Herein, density functional theory calculations combined with pH-dependent microkinetic simulations reveal that hydrogen affinity governs the evolution of catalytic surface states in Sn-based single-atom alloys (SAAs) during electrochemical CO2 reduction to formate. We demonstrate that hydrogen preferentially occupies either dopant or neighboring Sn sites depending on the electronic structure of the dopant and identify simple electronic descriptors based on the dopant d-band and p-band centers that enable the screening of preferential H adsorption sites. Surface Pourbaix analysis further reveals that Sn-based SAAs tend to evolve into nearly monolayer hydrogen-covered surfaces under practical CO2RR conditions, indicating that the catalytic performance should be evaluated on reconstructed rather than pristine surfaces. By incorporating dipole–field interactions, explicit potential of zero charge, and pH-dependent electric-field effects into microkinetic modeling, a predictive pH-dependent activity volcano is established, showing excellent agreement with experimental benchmarking. The resulting framework identifies promising catalysts with distinct pH-dependent activity windows and, more importantly, establishes hydrogen affinity as a fundamental descriptor governing surface-state evolution and thereby influencing catalytic performance, providing a general strategy for the rational design of p-block-metal-based electrocatalysts.

氢亲和控制的sn基单原子合金CO2电还原表面态演化解码
杂原子掺杂剂在锡基电催化剂中的催化作用一直难以捉摸,因为电化学条件下表面状态的动态演变很少被考虑。本文中,密度泛函理论计算结合ph依赖微动力学模拟表明,氢亲和性控制着sn基单原子合金(SAAs)在电化学CO2还原成甲酸过程中催化表面态的演变。我们证明,根据掺杂剂的电子结构,氢优先占据掺杂剂或邻近的Sn位点,并根据掺杂剂的d带和p带中心确定了简单的电子描述符,从而能够筛选优先的H吸附位点。表面Pourbaix分析进一步表明,在实际CO2RR条件下,sn基SAAs倾向于演变成几乎单层的氢覆盖表面,这表明应该在重建而不是原始表面上评估催化性能。通过将偶极子场相互作用、零电荷显势和ph依赖的电场效应纳入微动力学模型,建立了预测ph依赖的活火山,与实验基准表现出良好的一致性。由此产生的框架确定了具有不同ph依赖活性窗口的有前途的催化剂,更重要的是,建立了氢亲和性作为控制表面态演变的基本描述符,从而影响催化性能,为合理设计p-嵌段金属基电催化剂提供了一般策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Langmuir
Langmuir 化学-材料科学:综合
CiteScore
6.50
自引率
10.30%
发文量
1464
审稿时长
2.1 months
期刊介绍: Langmuir is an interdisciplinary journal publishing articles in the following subject categories: Colloids: surfactants and self-assembly, dispersions, emulsions, foams Interfaces: adsorption, reactions, films, forces Biological Interfaces: biocolloids, biomolecular and biomimetic materials Materials: nano- and mesostructured materials, polymers, gels, liquid crystals Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do? Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*. This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).
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