Achieving Pressure Consistency in Mechanochemical Simulations of Chemical Reactions Under Pressure

IF 3.4 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-01-26 DOI:10.1002/jcc.70024
Jonas Bentrup, Rahel Weiß, Felix Zeller, Tim Neudecker
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Abstract

The eXtended Hydrostatic Compression Force Field (X-HCFF) is a mechanochemical approach in which a cavity is used to exert hydrostatic pressure on a target system. The cavity used in this method is set up to represent the van der Waals (VDW) surface of the system by joining spheres sized according to the respective atomic VDW radii. The size of this surface can be varied via a scaling factor, and it can be shown that the compression forces exerted in X-HCFF in its current implementation depend on this factor. To address this dependency, we have developed a rescaling formalism for the applied forces, allowing us to drastically reduce the dependency of the compression forces on the chosen scaling factor. Independency from the scaling factor is important, as the scaling of the VDW spheres is often used to ensure an overlap of cavities in supramolecular complexes, which is necessary for the simulation of chemical reactions. Our rescaling formalism reduces the empiricism of the X-HCFF approach and boosts its applicability in the field of computational high-pressure chemistry.

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扩展静水压力场(X-HCFF)是一种机械化学方法,利用空腔对目标系统施加静水压力。该方法中使用的空腔是根据各自原子的范德华半径大小将球体连接起来,以表示系统的范德华(VDW)表面。这个表面的大小可以通过一个缩放因子来改变,而且可以证明,在目前实施的 X-HCFF 中施加的压缩力取决于这个因子。为了解决这种依赖性,我们开发了一种应用力的重缩放形式,使我们能够大大降低压缩力对所选缩放因子的依赖性。与缩放因子无关非常重要,因为 VDW 球体的缩放通常用于确保超分子复合物中空腔的重叠,这对于模拟化学反应非常必要。我们的重定标形式主义减少了 X-HCFF 方法的经验主义,提高了它在计算高压化学领域的适用性。
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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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