预测聚合物化的粗粒度分子动力学模拟中的人工加速
Saeed Momeni Bashusqeh1, Manisha Dhillayan1, Florian Müller-Plathe1
1Eduard-Zintl-Institut für Anorganische und Physikalische Chemie, Technical University of Darmstadt, 64287 Darmstadt, Germany.
一个新的模型通过考虑单体环境和温度来预测聚合物化的移动加速因子. 这个工具准确地预测了在粗粒度模拟中观察到的加速度.
科学领域:
- 聚合物科学 聚合物科学
- 计算化学计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 粗粒度 (CG) 模拟加速了分子动力学,但引入了聚合物流动性的人工增加.
- 移动加速因子 (CG扩散系数 / 全原子扩散系数) 量化了这个模拟工件.
- 准确预测这一因素对于可靠的聚合物化的CG模拟至关重要.
研究的目的:
- 开发一个预测模型,用于聚合物融中的移动加速因子.
- 确定影响移动加速因子的关键参数.
- 将温度效应纳入预测模型.
主要方法:
- 聚合物的全原子 (AA) 模拟在450 K.
- 代博尔兹曼倒置 (IBI) 对于粗粒度.
- 计算AA和CG的扩散系数.
- 基于环境参数和温度的预测模型的开发和改进.
主要成果:
- 使用关键参数和适配常数开发了一个预测模型.
- 最初的模型需要改进,以包括温度效应.
- 最终的温度依赖模型准确地预测了移动加速因子,平均绝对偏差为5.6%.
结论:
- 开发的模型可靠地预测了CG聚合物系统中的人工移动性增加.
- 该模型有效地利用了局部单体环境描述符和温度.
- 这项工作为提高粗粒度聚合物模拟的准确性提供了有价值的工具.
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