An algorithm for very high pressure molecular dynamics simulations

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2024-08-29 DOI:10.1002/jcc.27461
Marina Tesi, Roberto Cammi, Giovanni Granucci, Maurizio Persico
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Abstract

We describe a method to run simulations of ground or excited state dynamics under extremely high pressures. The method is based on the introduction of a fictitious ideal gas that exerts the required pressure on a molecular sample and is therefore called XP-GAS (eXtreme Pressure by Gas Atoms in a Sphere). The algorithm is most suitable for approximately spherical clusters of molecules described by quantum chemistry methods, Molecular Mechanics or mixed QM/MM approaches. We compare the results obtained by the algorithm here presented and by the XP-PCM approach, based on a continuum description of the environment. As a test case, we study the conformational dynamics of 1,3-butadiene either as an isolated molecule (“naked” butadiene) or embedded in a cluster of argon atoms, under pressures up to 15 GPa. Overall, our results show that the XP-GAS QM/MM simulation method is in good agreement with the XP-PCM QM/Continuum model (Cammi model) in describing the effect of the pressure on static properties as the equilibrium geometry of butadiene in the ground state. Furthermore, the comparison of XP-GAS simulations with naked butadiene and butadiene in argon shows the importance, for XP-GAS and related methods, of a realistic representation of the medium in modelling pressure effects.

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超高压分子动力学模拟算法
我们介绍了一种在极高压力下运行基态或激发态动力学模拟的方法。该方法基于引入一种虚构的理想气体,对分子样本施加所需的压力,因此被称为 XP-GAS(球内气体原子的极压)。该算法最适用于用量子化学方法、分子力学或混合 QM/MM 方法描述的近似球形的分子簇。我们比较了本文介绍的算法和基于环境连续描述的 XP-PCM 方法得出的结果。作为一个测试案例,我们研究了 1,3-丁二烯在高达 15 GPa 的压力下的构象动力学,无论是作为孤立分子("裸 "丁二烯)还是嵌入氩原子簇。总体而言,我们的研究结果表明,XP-GAS QM/MM 模拟方法与 XP-PCM QM/Continuum 模型(Cammi 模型)在描述压力对静态特性的影响(如丁二烯在基态的平衡几何形状)方面非常一致。此外,XP-GAS 模拟与裸丁二烯和氩气中的丁二烯的比较表明,XP-GAS 和相关方法在模拟压力效应时对介质的真实表示非常重要。
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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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