使用多高斯方法的哈密顿混合粒子-场理论中的相并存。

IF 2.8 2区 化学 Q3 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry B Pub Date : 2024-11-13 DOI:10.1021/acs.jpcb.4c05525
Samiran Sen, Henrique Musseli Cezar, Morten Ledum, Xinmeng Li, Michele Cascella
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引用次数: 0

摘要

本研究在汉密尔顿混合粒子场(HhPF)理论中引入了多高斯滤波器,旨在捕捉介观分子模拟中的相共存现象。通过采用两个高斯的线性组合,我们证明了 HhPF 可以生成类似于伦纳德-琼斯(LJ)势的具有吸引力和立体性成分的势,这对于相共存建模至关重要。我们比较了该方法与多高斯内核模型(MGCM)在模拟单组分系统在不同密度和温度下的液气共存时的性能。我们的结果表明,HhPF 能有效捕捉相共存和界面现象的详细信息,包括微构型转换和较高温度下增加的界面波动。值得注意的是,与 MGCM 的结果相比,HhPF 模拟得到的相界与 LJ 系统的相界更为接近。这项工作推进了混合粒子场方法,无需修改状态方程或引入额外的相互作用能量函数项即可解决相共存问题,为复杂系统的中尺度分子模拟提供了一种前景广阔的方法。
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Phase Coexistence in Hamiltonian Hybrid Particle-Field Theory Using a Multi-Gaussian Approach.

This study introduces an implementation of multiple Gaussian filters within the Hamiltonian hybrid particle-field (HhPF) theory, aimed at capturing phase coexistence phenomena in mesoscopic molecular simulations. By employing a linear combination of two Gaussians, we demonstrate that HhPF can generate potentials with attractive and steric components analogous to Lennard-Jones (LJ) potentials, which are crucial for modeling phase coexistence. We compare the performance of this method with the multi-Gaussian core model (MGCM) in simulating liquid-gas coexistence for a single-component system across various densities and temperatures. Our results show that HhPF effectively captures detailed information on phase coexistence and interfacial phenomena, including microconfiguration transitions and increased interfacial fluctuations at higher temperatures. Notably, the phase boundaries obtained from HhPF simulations align more closely with those of LJ systems compared to the MGCM results. This work advances the hybrid particle-field methodology to address phase coexistence without requiring modifications to the equation of state or introducing additional interaction energy functional terms, offering a promising approach for mesoscale molecular simulations of complex systems.

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来源期刊
CiteScore
5.80
自引率
9.10%
发文量
965
审稿时长
1.6 months
期刊介绍: An essential criterion for acceptance of research articles in the journal is that they provide new physical insight. Please refer to the New Physical Insights virtual issue on what constitutes new physical insight. Manuscripts that are essentially reporting data or applications of data are, in general, not suitable for publication in JPC B.
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