探索结构和能量调整 QM/MM 链接键的适用范围 III:以层状碳结构为例,对固态系统进行 QM/MM MD 模拟。

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-05-25 DOI:10.1002/jcc.27428
Felix R. S. Purtscher, Thomas S. Hofer
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引用次数: 0

摘要

之前介绍的在量子力学/分子力学(QM/MM)类型应用中实现前沿键的能量和结构优化描述的工作流程,以层状碳模型系统为例扩展到了计算材料科学领域。在 HSEsol/6-311G(d,p) 和自洽密度泛函紧密结合(SCC-DFTB)条件下,为石墨系统推导出了优化的 QM/MM 链接键参数,从而能够通过 $$ 量子化学计算详细研究石墨烯衍生结构 v i a $$ 中出现的特定结构图案。为了研究锂的插层和 Stone-Thrower-Wales 缺陷的性质,在等时-等温(NVT)集合中进行了典型的分子动力学(MD)模拟。锂的扩散性以及缺陷石墨烯表面对氢和质子的吸附是额外的例子。QM/MM MD 模拟的结果详细说明了在研究石墨材料的插层和吸附特性时所采用的链键策略的适用性。
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Probing the range of applicability of structure- and energy-adjusted QM/MM link bonds III: QM/MM MD simulations of solid-state systems at the example of layered carbon structures

The previously introduced workflow to achieve an energetically and structurally optimized description of frontier bonds in quantum mechanical/molecular mechanics (QM/MM)-type applications was extended into the regime of computational material sciences at the example of a layered carbon model systems. Optimized QM/MM link bond parameters at HSEsol/6-311G(d,p) and self-consistent density functional tight binding (SCC-DFTB) were derived for graphitic systems, enabling detailed investigation of specific structure motifs occurring in graphene-derived structures v i a quantum-chemical calculations. Exemplary molecular dynamics (MD) simulations in the isochoric-isothermic (NVT) ensemble were carried out to study the intercalation of lithium and the properties of the Stone–Thrower–Wales defect. The diffusivity of lithium as well as hydrogen and proton adsorption on a defective graphene surface served as additional example. The results of the QM/MM MD simulations provide detailed insight into the applicability of the employed link-bond strategy when studying intercalation and adsorption properties of graphitic materials.

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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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