Adsorption grand potential of OH on metal oxide surfaces

IF 2.1 4区 化学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY Journal of Molecular Modeling Pub Date : 2024-10-16 DOI:10.1007/s00894-024-06170-1
Claudia Islas-Vargas, Alfredo Guevara-García, Marcelo Galván
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Abstract

Context

Describing chemical processes at solid–liquid interfaces as a function of a fixed electron chemical potential presents a challenge for electronic structure calculations and is essential for understanding electrochemical phenomena. Grand Canonical Density Functional Theory (GCDFT) allows treating solid–liquid interfaces in such a way that studying the influence of a fixed electron potential arises naturally. In this work, GCDFT is used to compute the adsorption grand potential (AGP), a key parameter for understanding and predicting the behavior of adsorbates on surfaces. We focused on the adsorption of an OH molecule on three metallic surfaces commonly used in electrochemical processes, such as the oxygen evolution reaction (OER). Our study aims to offer insights into how AGP can be used to compare adsorption strengths under different fixed electron chemical potentials, which is crucial for designing efficient electrode materials. By determining the average number of electrons self-consistently under varying chemical potentials, we showed how one can distinguish between electron acquisition and depletion during the adsorption process, offering a deeper understanding of the adsorbate–surface interactions.

Methods

The approach used in this work employs the Kohn–Sham-Mermin formulation of the Grand Canonical Density Functional Theory. The computations were performed using the periodic open-source density functional theory software, JDFTx, with the Garrity-Bennett-Rabe-Vanderbilt library of ultrasoft pseudopotentials. Calculations were made using truncated Coulomb potentials and the auxiliary Hamiltonian method with the PBE exchange–correlation functional, along with DFT-D2 long-range dispersion corrections. The implicit solvation model CANDLE was used to describe the electrolyte with a 1 M concentration.

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OH 在金属氧化物表面的吸附宏电位
背景将固液界面上的化学过程描述为固定电子化学势的函数是电子结构计算的一项挑战,对于理解电化学现象至关重要。大规范密度泛函理论(GCDFT)可以处理固液界面,从而自然而然地研究固定电子势的影响。在这项研究中,GCDFT 被用来计算吸附总电势(AGP),这是理解和预测表面吸附剂行为的一个关键参数。我们重点研究了氧分子在三个常用于电化学过程(如氧进化反应)的金属表面上的吸附情况。我们的研究旨在深入探讨 AGP 如何用于比较不同固定电子化学势下的吸附强度,这对于设计高效电极材料至关重要。通过自洽地确定不同化学势下的平均电子数,我们展示了如何区分吸附过程中的电子获取和耗尽,从而更深入地了解吸附物与表面的相互作用。计算使用了周期性开源密度泛函理论软件 JDFTx 和 Garrity-Bennett-Rabe-Vanderbilt 超软伪势库。计算中使用了截断库仑势和带有 PBE 交换相关函数的辅助哈密顿方法,以及 DFT-D2 长程弥散修正。隐式溶解模型 CANDLE 用于描述浓度为 1 M 的电解质。
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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