Suppr超能文献

d 带模型用于预测弹性应变对不同吸附质在 Pt 和 PtO 表面吸附能影响的适用性。

Applicability of the d-Band Model to Predict the Influence of Elastic Strains on the Adsorption Energy of Different Adsorbates onto Pt and PtO Surfaces.

作者信息

Martínez-Alonso Carmen, LLorca Javier

机构信息

IMDEA Materials Institute, C/Eric Kandel 2, Getafe, 28906 Madrid, Spain.

Department of Inorganic Chemistry, Complutense University of Madrid, 28040 Madrid, Spain.

出版信息

ACS Omega. 2024 Jun 24;9(27):29884-29895. doi: 10.1021/acsomega.4c03830. eCollection 2024 Jul 9.

Abstract

The influence of elastic strains on the adsorption processes of seven adsorbates (H, C, N, O, CO, NO, and H) onto the surface of Pt(111) and PtO (110) has been investigated using density functional theory (DFT) simulations. The total adsorption energy was decomposed into mechanical and electronic contributions. Our results indicate that elastic strain in metals affects the adsorption energy by modifying the electronic structure of the surface rather than changing the physical space where the atoms reside after adsorption. In fact, the mechanical contribution to the adsorption energy in Pt was negligible compared to the electronic interaction and independent of the deformation. The mechanical contribution in the case of PtO was also independent of the applied strain, but its magnitude was slightly higher due to the ionic bonding between Pt and O atoms in the slab. The variation of the electronic contribution to the adsorption energy in Pt and PtO followed the predictions of the d-band model for all adsorbates, expanding its applicability to different adsorbates onto the same surface and to oxides.

摘要

利用密度泛函理论(DFT)模拟研究了弹性应变对七种吸附质(H、C、N、O、CO、NO和H)在Pt(111)和PtO(110)表面吸附过程的影响。总吸附能被分解为机械贡献和电子贡献。我们的结果表明,金属中的弹性应变通过改变表面的电子结构而非改变吸附后原子所处的物理空间来影响吸附能。事实上,与电子相互作用相比,Pt中吸附能的机械贡献可忽略不计,且与变形无关。PtO情况下的机械贡献也与施加的应变无关,但其大小略高,这是由于平板中Pt和O原子之间的离子键作用。对于所有吸附质,Pt和PtO中吸附能的电子贡献变化遵循d带模型的预测,将其适用性扩展到同一表面上的不同吸附质以及氧化物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d740/11238222/13b97000fb1a/ao4c03830_0001.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