两种物种混合/脱混合时的转移稳定性与相互依赖度的扩散性
Alexander B Neiman1,2, Xiaochen Dong3, Benjamin Lindner3,4
1Department of Physics and Astronomy, Ohio University, Athens, OH, United States.
Frontiers in network physiology
|December 3, 2025
概括
由于度依赖的扩散,两个粒子物种自发分离. 一个物流模型揭示了混合和分离状态的共存,显示了不同粒子数量的相位过渡动态.
科学领域:
- 统计物理 统计物理
- 非平衡系统 非平衡系统
- 复杂的流体 复杂的流体
背景情况:
- 相互依赖度的扩散性驱动自发的粒子分离.
- 以前的模型使用了二次扩散依赖,缺乏现实的和效应.
研究的目的:
- 通过更现实的西格形 (物流) 扩散依赖来研究粒子分离.
- 探索由此产生的相位行为和过渡动态.
主要方法:
- 用后勤交叉扩散术语建模粒子扩散.
- 使用顺序参数分析系统行为,以区分混合和脱混合阶段.
- 模拟具有不同粒子数的系统,以观察相位过渡和歇斯底里.
主要成果:
- 一个新的政权出现了,同时存在着同质 (混合) 和分离 (脱) 的国家.
- 这些超稳定状态表现出共存和歇斯底里,这是第一阶段过渡的特征.
- 相对应时间显示了可二次测量范围中的明显最大值,随着粒子数量的增加而呈指数增长.
结论:
- 西格形交叉扩散引入复杂的相位行为和转移稳定性.
- 该系统表现出第一阶段过渡的特征,包括hysteresis.
- 该模型提供了对扩散系统的自我组织和模式形成的洞察.
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