水/铂界面有机分子可转移密度-功能紧密结合模型的建立

IF 5.5 1区 化学 Q2 CHEMISTRY, PHYSICAL
Qing Wang, Mingjun Gu, Carine Michel, Nir Goldman, Thomas Niehaus* and Stephan N. Steinmann*, 
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引用次数: 0

摘要

一种计算效率高、可转移的方法来模拟金属/水界面的反应,可以显著加快我们对新的催化转化的理解,并最终促进新的催化转化的发展,特别是在新兴的生物质转化领域。在这里,我们提出了Pt-X (X = H, O, C)密度-功能紧密结合(DFTB)的参数化来解决这一需求。我们首先构建了Pt-H, Pt-O和Pt-C排斥势样条曲线。然后使用Chebyshev有效仿真相互作用模型(ChIMES)对这些成对参数进行扩充,以包括多体相互作用。我们将DFTB和DFTB/ChIMES方法的几何和能量性能与DFT参考数据进行了比较,这些数据涵盖了铂表面从纳米颗粒到单晶表面的各种有机分子。DFTB在扩展的晶体表面和小纳米颗粒之间显示有限的可转移性。通过在DFTB/ChIMES中引入与Pt的三体相互作用,这种可转移性得到了显着改善,这在各种系统中提供了一致的结果,将DFTB中的RMSD从约30 kcal/mol降低到约10 kcal/mol。我们通过对苯酚在Pt(111)上的吸附进行元动力学模拟,证明了所获得参数的稳定性和可靠性。我们观察到DFTB本身是欠溶剂化的表面,导致在c(4 × 6)单元胞中只有一个或两个化学吸附的水分子。相比之下,DFTB/ChIMES的覆盖范围约为0.5 ML,并成功捕获了固体/液体和固体/气体界面上苯酚的化学吸附模式。此外,与实验测量一致,固/液界面的吸附明显弱于固/气界面的吸附。此外,我们强调,即使使用DFTB,我们可以为给定系统累积超过1ns的动态,模拟也没有完全收敛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a Transferable Density-Functional Tight-Binding Model for Organic Molecules at the Water/Platinum Interface

Development of a Transferable Density-Functional Tight-Binding Model for Organic Molecules at the Water/Platinum Interface

A computationally efficient and transferable approach for modeling reactions at metal/water interfaces could significantly accelerate our understanding and ultimately the development of new catalytic transformations, particularly in the context of the emerging field of biomass conversion. Here, we present a parametrization of Pt–X (X = H, O, C) density-functional tight-binding (DFTB) for addressing this need. We first constructed Pt–H, Pt–O, and Pt–C repulsive potential splines. These pairwise parameters were then augmented to include many-body interactions using the Chebyshev Interaction Model for Efficient Simulation (ChIMES). We compare the geometrical and energetic performances of both DFTB and DFTB/ChIMES methods with DFT reference data across a variety of organic molecules at the platinum surface from nanoparticles to single-crystal surfaces. DFTB shows limited transferability between extended crystal surfaces and small nanoparticles. This transferability is significantly improved through the introduction of three-body interactions with Pt in DFTB/ChIMES, which provides consistent results across various systems, with reductions in the RMSD from around 30 kcal/mol in DFTB to around 10 kcal/mol. We demonstrate the stability and reliability of the obtained parameters by performing metadynamic simulations for the adsorption of phenol on Pt(111). We observe that DFTB itself is undersolvating the surface, leading to only one or two chemisorbed water molecules in a c(4 × 6) unit cell. In contrast, DFTB/ChIMES leads to a coverage of about 0.5 ML and successfully captures the chemisorbed mode of phenol at both the solid/liquid and the solid/gas interfaces. Furthermore, in agreement with experimental measurements, the adsorption at the solid/liquid interface is significantly weaker than that at the solid/gas interface. Furthermore, we highlight that even with DFTB, where we can accumulate dynamics for more than 1 ns for a given system, the simulations are not fully converged.

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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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