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具有化学特异性的系统粗粒高分子模型,具有一致的结构和动态特性

Xu-Ze Zhang¹, Rui Shi¹, Zhong-Yuan Lu¹

¹State Key Laboratory of Supramolecular Structure and Materials, Institute of Theoretical Chemistry, College of Chemistry, Jilin University, Changchun 130021, China.

|April 1, 2024

概括

开发准确的粗粒度 (CG) 模型用于聚合物模拟具有挑战性. 本研究提出了一种系统的CG方法,结合了代的博尔兹曼倒置和泛化的朗格温方程动态,以可靠地预测结构和动态属性.

科学领域:

计算化学和材料科学计算化学和材料科学
聚合物物理和模拟

背景情况:

粗粒度 (CG) 模型对于模拟聚合物系统至关重要,但它们的准确性取决于重现结构和动态性能.
开发化学特定的CG模型是很困难的,因为在各个尺度的属性和链接连接的记忆效应之间存在很强的相关性.

研究的目的:

开发一种系统的粗粒度 (CG) 建模方法,准确地捕捉聚合物系统的结构和动态特性.
结合代博尔兹曼倒置 (IBI) 方法与通用朗格温方程 (GLE) 动力学,用于增强的CG模拟.

主要方法:

采用代博尔兹曼逆转 (IBI) 方法来导出保守的粗粒度潜力,确保精确的结构性质.
在通用朗格温方程 (GLE) 框架内集成了一个罗兹型的三角函数和一个时间依赖的短时间内核,以实现正确的动态特性.
从全原子化 (AA) 模拟中使用速度自相关函数 (ACF) 代重建了短时间内核.

主要成果:

开发的CG模型成功地复制了聚钢的结构性质,包括半径分布,分子内键和角分布.
动态特性,如平均平方位移,速度ACF和力ACF,与参考全原子学 (AA) 模拟显示了定量一致.
来自GLE-CG模型的集体属性也表明了与AA模拟的合理一致.

结论:

结合IBI和GLE的方法为开发化学特异性粗粒高分子模型提供了系统和有效的方法.
这种方法确保了结构和动态行为的准确表示,这对于可靠的聚合物模拟至关重要.
该研究验证了GLE中的Rouse型三角函数和时间依赖内核在捕获聚合物动态方面的实际效率.

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