非高斯活性物质的 entropy 生产:一个统一的波动定理和深度学习框架
Yuanfei Huang1,2, Chengyu Liu3, Bing Miao4
1Asia Pacific Center for Theoretical Physics, Pohang-si, Gyeongsangbuk-do, 37673, Republic of Korea.
Physical review letters
|March 1, 2026
概括
我们开发了一个框架来计算非高斯波动的活性物质系统中的产量. 这种方法提供了一种统一的方法和计算工具,用于研究复杂的不平衡行为.
科学领域:
- 物理 物理学 物理
- 统计力学 统计力学
- 柔软的物质 软的物质
背景情况:
- 活性物质系统表现出由内部能量消耗驱动的复杂的不平衡动态.
- 了解生成对于描述这些系统至关重要,但非高斯波动带来了挑战.
- 随机热力学现有的方法经常与非高斯活跃波动作斗争.
研究的目的:
- 开发一个一般的理论框架来推导由非高斯活跃波动驱动的活性物质系统中的生产率.
- 为这些系统建立波动定理和热力学不等式.
- 引入一种基于深度学习的新计算方法,以有效计算产量.
主要方法:
- 利用概率流等效技术来推导出产生的分解公式.
- 证明了详细和完整的波动定理,包括热力学第二定律.
- 提出了一种深度学习方法,将莱维分数纳入高效的生成计算.
主要成果:
- 推导出适用于非高斯活跃系统的严格生成分解公式.
- 确定总产量满足了详细和完整的波动定理.
- 展示了活性物质系统的热力学第二定律.
- 在活性浴和活性聚合物模型中的布朗粒子上验证了深度学习方法.
结论:
- 提出的框架提供了一种统一的方法来分析活性物质中的产量.
- 开发的计算工具可以有效地调查复杂的不平衡现象.
- 这些发现将随机热力学扩展到具有非高斯活跃波动的系统.
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