Level-Shifted Embedded Cluster Method for Modeling the Chemistry of Metal Oxides

星团(航天器) 量子 量子化学 耦合簇 量子化学 材料科学 化学物理 吸附 计算机科学 纳米技术 化学 分子 物理 物理化学 电化学 量子力学 有机化学 程序设计语言 电极
作者
M.-H. Yang,Xin‐Ping Wu
出处
期刊:Journal of Chemical Theory and Computation [American Chemical Society]
卷期号:20 (3): 1386-1397 被引量:1
标识
DOI:10.1021/acs.jctc.3c01123
摘要

The embedded cluster method has been used extensively in the study of the chemical and physical properties of metal oxides. This method has been a popular tool due to its relatively high accuracy and low computational cost. An even more promising option may entail integrating the embedded cluster method with the combined quantum mechanical and molecular mechanical (QM/MM) approach, thereby enabling further consideration of interactions within the entire system for superior results. We aim to accurately model the chemistry of metal oxides using this combined scheme. Here, using the prototypical MgO(100) surface as a test system, with Mg9O14 as the cluster in the quantum mechanical region, we show that the embedded cluster with untailored boundary effective core potentials (ECPs) can have frontier orbital energy levels that substantially deviate from the quantum mechanical reference results. This occurs even when Mg9O9, which retains the stoichiometry of MgO, is used as the cluster in the quantum mechanical region. As a result, the chemical properties of the embedded cluster models differ from those of the quantum mechanical reference model. To address this issue, we propose a new variant of the embedded cluster method called the level-shifted embedded cluster (LSEC) method, which allows the energy levels to be shifted to match the reference levels by tuning the boundary ECPs. Our validation calculations on the adsorption of various adsorbates with different properties on the MgO(100) surface show that the overall performance of QM/MM with the LSEC method is excellent for the adsorption energies, geometries, and charge properties. The excellent performance holds for both the nonstoichiometric and stoichiometric clusters (i.e., Mg9O14 and Mg9O9, respectively), demonstrating the robustness of the LSEC method. We expect that the LSEC method can be combined with QM/MM or used separately for future chemical studies of metal oxides and other ionically bonded systems.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
钟意完成签到,获得积分10
刚刚
永雏塔菲完成签到,获得积分10
刚刚
JamesPei应助懦弱的甜瓜采纳,获得10
1秒前
ppat5012完成签到,获得积分20
1秒前
社会王发布了新的文献求助10
1秒前
1秒前
烟花应助托托采纳,获得10
1秒前
1秒前
lucky李完成签到,获得积分10
2秒前
du2002完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
Alaiiif应助捏捏捏采纳,获得10
4秒前
4秒前
玖兰发布了新的文献求助20
4秒前
yuuu完成签到,获得积分10
4秒前
Chaha完成签到,获得积分10
4秒前
徐萌完成签到 ,获得积分10
5秒前
好好学习发布了新的文献求助10
5秒前
5秒前
du2002发布了新的文献求助30
5秒前
热心市民范女士完成签到,获得积分10
6秒前
carne发布了新的文献求助30
6秒前
zeno完成签到,获得积分20
7秒前
NKG2D发布了新的文献求助10
7秒前
Hello应助沉默的钻石采纳,获得10
7秒前
7秒前
飞快的冰之完成签到,获得积分10
7秒前
7秒前
大模型应助大竹峰阿南采纳,获得30
7秒前
笑点低紊发布了新的文献求助10
8秒前
JokerLiu发布了新的文献求助10
8秒前
8秒前
aa发布了新的文献求助10
8秒前
清薇发布了新的文献求助10
8秒前
许瑞琳完成签到,获得积分10
8秒前
kaio完成签到,获得积分10
8秒前
淡水痕发布了新的文献求助10
9秒前
独立卫生间完成签到,获得积分0
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
The Cambridge Handbook of Intellectual Property and Upcycling 800
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7207044
求助须知:如何正确求助?哪些是违规求助? 8840441
关于积分的说明 18656416
捐赠科研通 6856089
什么是DOI,文献DOI怎么找? 3181200
关于科研通互助平台的介绍 2340364
邀请新用户注册赠送积分活动 2155588