在中等尺度上对同聚合物化的异构力场的开发
Roland Leonel Nkepsu Mbitou1,2, Alain Dequidt1, Florent Goujon1
1Université Clermont Auvergne, CNRS, Institut de Chimie de Clermont-Ferrand, Clermont-Ferrand F-63000, France.
The Journal of chemical physics
|February 13, 2024
概括
我们为同聚合物开发了一种新的粗粒度模型,该模型提高了准确性,并将非物理键交叉减少了90%. 这种异型潜能增强了聚合物模拟,而不会显著增加计算成本.
科学领域:
- 聚合物物理 聚合物物理
- 计算化学是一种计算化学.
- 材料科学是一种材料科学.
背景情况:
- 粗粒度 (CG) 模型对于模拟大型聚合物系统至关重要.
- 现有的CG模型往往难以准确地表示聚合物密度和结构.
- 非物理键交叉可以影响模拟,减少模型的现实性.
研究的目的:
- 为同聚合物开发一个现实的粗粒度模型.
- 为了引入一个新的骨干导向的异构潜力.
- 使用统计轨迹匹配优化和验证模型.
主要方法:
- 开发了一个表制的骨干导向的异质潜力.
- 通过统计轨迹匹配优化模型参数.
- 在各种粗粒度水平上对cis-polybutadiene进行模型性能评估.
主要成果:
- 调粒面积比提高了模型密度和结构.
- 减少了高达90%的非物理债券交叉.
- 保持了计算效率,保持了CG模型的优势.
结论:
- 拟议的异构性潜力使得可以实现现实的粗粒型同聚合物建模.
- 参数调整为增强模拟准确性和减少文物提供了一条途径.
- 这种方法在聚合物模拟中平衡了忠实性和计算可操作性.
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