液体粗粒度相互作用的高斯表示:理论,参数化和可转移性
Jaehyeok Jin1,2, Jisung Hwang3, Gregory A Voth1
1Department of Chemistry, Chicago Center for Theoretical Chemistry, James Franck Institute, and Institute for Biophysical Dynamics, The University of Chicago, 5735 S. Ellis Ave., Chicago, Illinois 60637, USA.
The Journal of chemical physics
|November 9, 2023
概括
我们为粗粒度 (CG) 模型开发了一种新方法,提高了它们的准确性和可转移性. 这种方法使用高斯函数和扰动理论来创建更可扩展的液体CG模型.
科学领域:
- 计算化学的计算化学
- 材料科学 材料科学 材料科学
- 统计力学 统计力学
背景情况:
- 底部向上粗粒度 (CG) 模型准确地捕捉结构相关性,但由于多体相互作用而面临扩展性挑战.
- 现有的CG模型可以在不同的热力学条件下与可转移性作斗争.
研究的目的:
- 开发一种改进的自下而上的粗粒度 (CG) 建模方法,解决准确性和可转移性问题.
- 为CG模型中出现的高斯相互作用提供微观理论基础.
- 提高液体系统的减少顺序模型的可扩展性和预测能力.
主要方法:
- 应用经典扰动理论,将硬球反射与有效的CG相互作用分开.
- 引入了与局部粒子密度和协调相关的高斯基函数.
- 利用积分方程理论来导出长距离集体溶解相互作用的形式.
- 开发了一个数值参数化协议,并推断了参数确定状态方程.
- 提出了一种在多元件CG系统中设计交叉交互的策略.
主要成果:
- 证明微观理论阐明了在常见的CG模型中高斯相互作用的出现.
- 通过各种热力学状态点实现了减少CG模型的优异可转移性.
- 成功设计了液体混合物的平均力和结构相关性准确的CG潜力.
- 展示了来自积分方程理论的集体解法相互作用的高斯形式.
结论:
- 建立了一个强大的理论框架,用于构建可转移的液体自下而上的CG模型.
- 拟议的方法通过解决复杂的相关性来提高CG模型的可扩展性.
- 这些发现为开发更可靠,更具预测性的减少顺序模拟提供了坚实的基础.
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