模拟过渡金属氧化还原离子的溶解动力学,通过飞行中的多目标贝叶斯优化力场
Yuchi Chen1,2, Qiangqiang Huang1, Te-Huan Liu1
1School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.
The Journal of chemical physics
|September 25, 2024
概括
本研究介绍了一种即时多目标贝叶斯优化 (OTF-MOBO) 方法,以准确地建模离子溶解特性. 这种方法优化了电解质的力场,在预测溶解自由能量和半径方面实现了高精度.
科学领域:
- 计算化学是一种计算化学.
- 材料科学是一种材料科学.
- 物理化学 物理化学
背景情况:
- 精确建模溶解动力学和性能对于设计用于储能和转换的先进电解质至关重要.
- 当前的力场参数化方法可能是计算密集的,并且可能无法完全捕捉复杂的溶解行为.
研究的目的:
- 开发和验证一个即时的多目标贝叶斯优化 (OTF-MOBO) 方法,以实现高效和准确的力场参数化.
- 用分子动力学模拟来改进对离子溶解结构,热力学和运输性能的预测.
主要方法:
- 实现了一个OTF-MOBO算法,以使用无溶解能量和溶解半径作为训练数据来优化力场参数.
- 采用分子动力学模拟来评估建模准确性,以巴雷托前线为目标,尽量减少预测错误.
- 利用简单的力场 (列纳德-斯和库伦比电位) 来建模过渡金属氧化还原离子的水溶液.
主要成果:
- 在预测过渡金属离子的自由溶解能量和溶解半径时,实现了低于2%的相对误差.
- 证明了OTF-MOBO方法在优化力场的有效性,以实现准确的溶解建模.
- 通过成功预测溶解和扩散率,与实验数据相比,验证了优化的力场,相对误差低于10%.
结论:
- 开发的OTF-MOBO方法提供了一种高效准确的方法,用于对离子溶解的力场进行参数化.
- 简单的力场,当使用这种数据驱动方法进行优化时,可以实现对电解质性质的高预测功率.
- 这项工作通过提高分子模拟的可靠性,促进了电化学设备电解质的开发.
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