横跨随机障碍的时间表:从不平衡数据中推断潜力.
A J Archer1, T Ala-Nissila1,2, T J W Honour3
1Department of Mathematical Sciences and Interdisciplinary Centre for Mathematical Modelling, Loughborough University, Loughborough LE11 3TU, United Kingdom.
The Journal of chemical physics
|August 11, 2025
概括
克拉默斯的利率理论错过了早期的动态. 这项研究揭示了关键的不平衡时间尺度和障碍穿越中的潜在景观形成,这对于理解有限时间的激活过程至关重要.
科学领域:
- 化学物理 化学物理
- 统计力学 统计力学
- 物理化学 物理化学
背景情况:
- 克拉默斯的速率理论是跨越障碍的基础,但仅限于平衡条件.
- 早期,不平衡动态对于理解激活过程至关重要,但往往被排除在外.
研究的目的:
- 在跨越障碍模型中研究早期不平衡动态.
- 识别和量化控制不平衡行为的关键时间尺度.
- 探索从动态数据中构建潜在的景观.
主要方法:
- 使用斯莫鲁霍夫斯基方程 (SE) 和随机路径积分 (SPI) 映射.
- 在双井潜力中分析了一种过度压缩的粒子动态模型系统.
- 计算了对双稳定和不对称电位的屏障上的电流.
主要成果:
- 确定了用于井平衡,有效潜在屈曲和第二井出现的不同的时间表.
- 观察到第二井推断的时间表随着障碍高度的增加而减少.
- 在早期发现了与平衡预测的显著偏差 (t ≪ τB).
- 确定过渡时间到平衡率理论是障碍高度独立的.
结论:
- 早期的时间动态与平衡预测有很大差异.
- 准确的潜在景观建设需要足够的采样时间 (t ≫ τB).
- 结果提供了关于在有限时间控制激活过程的见解.
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