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在相互依赖的系统中突然过渡的随机级联起源
Bnaya Gross1,2, Irina Volotsenko3, Yuval Sallem3
1Network Science Institute, Northeastern University, Boston, MA, USA. bnaya.gross@gmail.com.
Nature communications
|July 2, 2025
概括
超导网络中的突然相位转换源于内部级联,而不仅仅是外部变化. 一个具有长期阻力高原的元稳定状态作为系统崩的早期警告.
科学领域:
- 统计物理 统计物理
- 凝聚物质物理学 凝聚物质物理学
- 网络科学 网络科学
背景情况:
- 连续的相位转换是通过外部的全球变化来理解的.
- 突发相位转换的起源仍然不清楚.
- 相互依赖的超导网络表现出复杂的行为.
研究的目的:
- 阐明相互依赖的超导网络中突然相变背后的机制.
- 确定内部级联机制的作用.
- 为了研究突如其来的转变之前的元稳定状态的特性.
主要方法:
- 相互依赖的超导网络的实验研究.
- 对阻力级联现象的分析.
- 转变稳定状态和级联事件的表征.
- 测量平原时间长度,系统大小和距离关键性的距离.
- 计算分支因子和临界指数.
主要成果:
- 突发相位转换是由内部随机空间级联机制驱动的.
- 一个独特的超稳定状态,其特点是长期存在的阻力级联高原,支配了过渡.
- 级联事件发生在随机地点自发地发生,在全球相位转移之前.
- 平原持续时间表现出与系统大小和接近临界度的缩放规律.
- 分支因子,类似于流行病的传播,在临界点等于一个,表明接近系统崩.
结论:
- 内部级联机制,特别是转移稳定的阻力高原,是突然相位过渡的关键.
- 分支因子作为灾难性系统级联的关键早期预警信号.
- 了解这些机制对于预测和防止复杂网络中的系统崩至关重要.
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