应变和配体的一维极限效应:步骤的反应性

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL
Onyinyechukwu Goodness Njoku, Paige Fronczak, Kara Smeltz, Ian T. McCrum
{"title":"应变和配体的一维极限效应:步骤的反应性","authors":"Onyinyechukwu Goodness Njoku, Paige Fronczak, Kara Smeltz, Ian T. McCrum","doi":"10.1038/s41524-025-01616-3","DOIUrl":null,"url":null,"abstract":"<p>The predictive design of alloy (electro)catalysts is necessary to identify catalysts more active, selective, stable, and low-cost than the pure metals. Our fundamental understanding of the catalytic behavior of alloys is limited however as it is typically derived from that of flat, “pristine” surfaces, not the industrially-relevant, defect-rich surfaces found on nanoparticles. We use density functional theory (DFT) modeling to probe strain, ligand, and ensemble effects on transition metal surfaces with step-defects. We find the response of the step to strain and ligand effects is much smaller in magnitude and sometimes opposite in direction to that of a flat surface, due to the breaking of two-dimensional symmetry at the step. Insight gained from flat surfaces alone is therefore not sufficient to understand (alloy) nanoparticles; defect sites must be explicitly considered. We additionally find that the one-dimensional, bimetallic ensemble created by the selective decoration of step defects can break adsorbate scaling, yielding surface alloys with potentially enhanced catalytic performance.</p>","PeriodicalId":19342,"journal":{"name":"npj Computational Materials","volume":"76 1","pages":""},"PeriodicalIF":9.4000,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Strain and ligand effects in the 1-D limit: reactivity of steps\",\"authors\":\"Onyinyechukwu Goodness Njoku, Paige Fronczak, Kara Smeltz, Ian T. McCrum\",\"doi\":\"10.1038/s41524-025-01616-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The predictive design of alloy (electro)catalysts is necessary to identify catalysts more active, selective, stable, and low-cost than the pure metals. Our fundamental understanding of the catalytic behavior of alloys is limited however as it is typically derived from that of flat, “pristine” surfaces, not the industrially-relevant, defect-rich surfaces found on nanoparticles. We use density functional theory (DFT) modeling to probe strain, ligand, and ensemble effects on transition metal surfaces with step-defects. We find the response of the step to strain and ligand effects is much smaller in magnitude and sometimes opposite in direction to that of a flat surface, due to the breaking of two-dimensional symmetry at the step. Insight gained from flat surfaces alone is therefore not sufficient to understand (alloy) nanoparticles; defect sites must be explicitly considered. We additionally find that the one-dimensional, bimetallic ensemble created by the selective decoration of step defects can break adsorbate scaling, yielding surface alloys with potentially enhanced catalytic performance.</p>\",\"PeriodicalId\":19342,\"journal\":{\"name\":\"npj Computational Materials\",\"volume\":\"76 1\",\"pages\":\"\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2025-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"npj Computational Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1038/s41524-025-01616-3\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"npj Computational Materials","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1038/s41524-025-01616-3","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0

摘要

合金(电)催化剂的预测设计对于确定比纯金属催化剂更具活性、选择性、稳定性和低成本的催化剂是必要的。然而,我们对合金催化行为的基本理解是有限的,因为它通常来自平坦的,“原始”的表面,而不是工业相关的,纳米颗粒上发现的富含缺陷的表面。我们使用密度泛函理论(DFT)建模来探测具有阶梯缺陷的过渡金属表面的应变、配体和系综效应。我们发现台阶对应变和配体效应的响应在量级上要小得多,有时与平面的响应方向相反,这是由于在台阶上破坏了二维对称性。因此,仅从平面获得的信息不足以理解(合金)纳米颗粒;必须明确地考虑缺陷点。我们还发现,由台阶缺陷的选择性修饰产生的一维双金属系综可以打破吸附质结垢,产生具有潜在增强催化性能的表面合金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Strain and ligand effects in the 1-D limit: reactivity of steps

Strain and ligand effects in the 1-D limit: reactivity of steps

The predictive design of alloy (electro)catalysts is necessary to identify catalysts more active, selective, stable, and low-cost than the pure metals. Our fundamental understanding of the catalytic behavior of alloys is limited however as it is typically derived from that of flat, “pristine” surfaces, not the industrially-relevant, defect-rich surfaces found on nanoparticles. We use density functional theory (DFT) modeling to probe strain, ligand, and ensemble effects on transition metal surfaces with step-defects. We find the response of the step to strain and ligand effects is much smaller in magnitude and sometimes opposite in direction to that of a flat surface, due to the breaking of two-dimensional symmetry at the step. Insight gained from flat surfaces alone is therefore not sufficient to understand (alloy) nanoparticles; defect sites must be explicitly considered. We additionally find that the one-dimensional, bimetallic ensemble created by the selective decoration of step defects can break adsorbate scaling, yielding surface alloys with potentially enhanced catalytic performance.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信