用 ClayCode 建模逼真的粘土系统

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Hannah Pollak, Matteo T. Degiacomi, Valentina Erastova
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引用次数: 0

摘要

粘土是一大类无处不在的层状材料。它们的特定化学物理性质与其分子结构密切相关,其特点是被置换打破的重复模式。分子动力学模拟可以让人们深入了解导致这些层状材料产生新特性的机制;然而,到目前为止,人们一直在模拟理想化的粘土结构,以便使建模过程具有可操作性。我们介绍的 ClayCode 是一款便于对与实验确定的结构非常相似的粘土系统进行建模的软件。通过比较一个现实模型和一个常用蒙脱石粘土模型,我们证明理想化模型具有明显不同的离子吸附模式。然后,我们介绍了 ClayCode 在怀俄明蒙脱石、佐治亚高岭石和蒙大拿伊利石上的竞争性钡和钠吸附研究中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modeling Realistic Clay Systems with ClayCode

Modeling Realistic Clay Systems with ClayCode
Clays are a broad class of ubiquitous layered materials. Their specific chemophysical properties are intimately connected to their molecular structure, featuring repeating patterns broken by substitutions. Molecular dynamics simulations can provide insight into the mechanisms leading to the emergent properties of these layered materials; however, up to now, idealized clay structures have been simulated to make the modeling process tractable. We present ClayCode, a software facilitating the modeling of clay systems closely resembling experimentally determined structures. By comparing a realistic model to a commonly used montmorillonite clay model, we demonstrate that idealized models feature noticeably different ionic adsorption patterns. We then present an application of ClayCode to the study the competitive barium and sodium adsorption on Wyoming montmorillonite, Georgia kaolinite, and Montana Illite, of interest in the context of nuclear waste disposal.
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来源期刊
Journal of Chemical Theory and Computation
Journal of Chemical Theory and Computation 化学-物理:原子、分子和化学物理
CiteScore
9.90
自引率
16.40%
发文量
568
审稿时长
1 months
期刊介绍: The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.
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