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对于周期驱动系统的产生的推理
Pedro E Harunari1, Carlos E Fiore2, Andre C Barato3
1University of Luxembourg, Complex Systems and Statistical Mechanics, Department of Physics and Materials Science, L-1511 Luxembourg City, Luxembourg.
Physical review. E
|February 7, 2025
概括
估计周期驱动系统中的产量至关重要. 本研究开发了一种使用过渡统计和等待时间的新方法,独立于初始条件,以准确估计产量.
科学领域:
- 随机热力学是随机的热力学.
- 非平衡的系统是不平衡的.
背景情况:
- 估计产量对于理解非平衡系统至关重要.
- 现有的方法往往侧重于具有固定力的稳定状态.
- 周期驱动系统对估计提出了独特的挑战.
研究的目的:
- 开发一种方法来估计周期驱动系统中的产量.
- 提供独立于初始条件和协议跟踪的估计.
- 用分子模型分析方法的性能.
主要方法:
- 使用可见转换和等待时间的统计数据.
- 将一种方法从非平衡稳定状态调整为依赖时间的系统.
- 分析一个具有不同能量和障碍的分子模型.
主要成果:
- 一个依赖于跨过渡时间但不是第一个过渡时间的产量估计.
- 与生成率及其估计相关的不平等,包括一个额外的术语.
- 净运动 (概率电流) 对于相关的产量估计是必要的.
结论:
- 拟议的方法提供了一个实用的方法,用于在复杂的,时间依赖的系统中估计产量.
- 这些发现强调了系统动态和概率电流在热力学评估中的重要性.
- 这项工作推进了非平衡热力学中对的实验和理论理解.
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