PyCTRAMER:一个Python包,用于从马库斯理论到费米黄金规则的凝聚相系统的电荷转移速率常数
Zengkui Liu1,2,3,4, Dominikus Brian2,3,4, Xiang Sun1,2,3,4
1Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning, NYU Shanghai, 567 West Yangsi Road, Shanghai 200124, China.
The Journal of chemical physics
|August 9, 2024
概括
PyCTRAMER是一个新的Python包,用于计算有机光伏材料中的电荷转移 (CT) 速率. 它自动化了光诱导电荷转移过程的复杂计算,帮助材料设计.
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
- 物理化学 物理化学
背景情况:
- 计算电荷转移 (CT) 速率常数对于理解和设计有机光伏 (OPV) 等材料至关重要.
- 现有的方法往往需要复杂的,多步骤的工作流,整合各种计算技术.
- 无序的冷凝相系统和有限的温度对精确的CT速率计算构成重大挑战.
研究的目的:
- 介绍PyCTRAMER,这是一个Python包,用于计算无序凝聚相系统中的CT速率常数.
- 为光诱导CT过程提供自动化工作流程,从电子结构到速率计算.
- 支持各种CT过渡类型,并允许在显式溶剂和无形混合物中进行分析.
主要方法:
- 杆量子化学计算和全原子分子动力学 (MD) 模拟.
- 实现费米的黄金规则 (FGR) 和线性化半经典近似.
- 从能量轨迹构建自旋玻色子模型,用于速率常数计算.
主要成果:
- PyCTRAMER允许计算马库斯CT速率常数和FGR近似值.
- 该包自动化了分子内和分子间CT转换的工作流程.
- 在原型OPV系统中通过示例展示了能力.
结论:
- PyCTRAMER为复杂系统中的CT速率计算提供了一个全面和自动化的解决方案.
- 该包方便研究像OPV这样的材料中的光诱导CT过程.
- 为电子结构分析,MD模拟和模型构建提供多功能工具.
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