Effect of gold slab layers relaxation on adsorption of alkanethiols on the (111) surface: a density functional theory study.

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Walid Iken, Hayat El Ouafy, Loubna Halil, Soukaina Naciri, Mouad Boutkbout Nait Moudou, Mouna Aamor, Mohamed Reda Chriyaa, Tarik El Ouafy
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Abstract

Context: Despite numerous studies on alkanethiol adsorption on gold surfaces, this work uniquely investigates the impact of Au(111) surface layers relaxation on adsorption energy, electrical conductivity, and molecular geometry using density functional theory (DFT). We demonstrate that adsorption energy increases linearly with increasing relaxation layers. Notably, relaxing only the top layer yields a slope close to experimental data. Geometrically, molecules exhibit greater tilt on a fully frozen surface, except methanethiol. In terms of electrical conductivity, gap energy decreases upon adsorption when all layers are frozen. Furthermore, Fermi energy rises exponentially with adsorption energy for a frozen surface but follows a linear trend with relaxation. These insights offer a deeper understanding of surface effects on molecular adsorption.

Methods: Adsorption energies and geometric parameters were calculated by DFT with QUANTUM ESPRESSO, using GGA-PBE and Grimme D3 for van der Waals corrections. Core-valence interactions were described by PAW and pseudopotentials. Au(111) slab, constructed with VESTA, contained 3 layers.

金板层弛豫对烷硫醇在(111)表面吸附的影响:密度泛函理论研究。
背景:尽管有许多关于金表面上烷硫醇吸附的研究,但这项工作独特地研究了Au(111)表面层松弛对吸附能、电导率和分子几何形状的影响,使用密度泛函理论(DFT)。我们证明吸附能随松弛层数的增加而线性增加。值得注意的是,仅放松顶层产生的斜率接近实验数据。在几何上,分子在完全冻结的表面上表现出更大的倾斜,除了甲硫醇。在电导率方面,当所有层被冻结时,间隙能量在吸附时减少。此外,冻结表面的费米能随吸附能呈指数上升,但随弛豫呈线性趋势。这些见解为分子吸附的表面效应提供了更深入的理解。方法:采用量子浓缩DFT计算吸附能和几何参数,采用GGA-PBE和grime D3进行范德华校正。核价相互作用用PAW和赝势来描述。用VESTA构造的Au(111)板包含3层。
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
Journal of Molecular Modeling
Journal of Molecular Modeling 化学-化学综合
CiteScore
3.50
自引率
4.50%
发文量
362
审稿时长
2.9 months
期刊介绍: The Journal of Molecular Modeling focuses on "hardcore" modeling, publishing high-quality research and reports. Founded in 1995 as a purely electronic journal, it has adapted its format to include a full-color print edition, and adjusted its aims and scope fit the fast-changing field of molecular modeling, with a particular focus on three-dimensional modeling. Today, the journal covers all aspects of molecular modeling including life science modeling; materials modeling; new methods; and computational chemistry. Topics include computer-aided molecular design; rational drug design, de novo ligand design, receptor modeling and docking; cheminformatics, data analysis, visualization and mining; computational medicinal chemistry; homology modeling; simulation of peptides, DNA and other biopolymers; quantitative structure-activity relationships (QSAR) and ADME-modeling; modeling of biological reaction mechanisms; and combined experimental and computational studies in which calculations play a major role.
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