在驱动的平均场眼镜模型中,屈服度和内存
Makoto Suda1, Edan Lerner2, Eran Bouchbinder3
1Tohoku University, Department of Earth Science, Sendai, Miyagi 980-8578, Japan.
Physical review letters
|January 20, 2026
概括
这项研究模拟了玻璃系统中的循环变形,揭示了振荡性收益过渡和动态减速. 这些发现为理解复杂的玻璃动态提供了一个统一的理论框架.
科学领域:
- 凝聚物质物理学 凝聚物质物理学
- 材料科学是一种材料科学.
- 统计力学就是统计力学.
背景情况:
- 玻璃系统表现出复杂的行为,缺乏统一的理论框架.
- 之前的工作确定了在振荡驱动力下的眼镜中普遍的非声波振动光谱.
研究的目的:
- 研究一种平均场模型,该模型可以在循环变形的眼镜中复制普遍的振动光谱.
- 从理论上描述在驱动玻璃系统中观察到的动态现象.
主要方法:
- 使用带动平均场模型与无序的哈密尔顿结构.
- 分析模型对振荡性收益过渡和相关动态的预测.
主要成果:
- 该模型预测了一个振荡性收益过渡,其特点是微观轨迹中的吸收-扩散过渡.
- 观察到大规模的歇斯底里,动态减速和机械/热效应.
- 证明了驱动和非驱动系统之间的非平衡整体等价性,包括内存形成.
结论:
- 驱动平均场模型成功地捕捉了循环变形玻璃中的关键动态现象.
- 这项研究为了解玻璃系统中的通用行为提供了理论基础.
- 建立了驱动动力学和灭障碍平均值之间的联系,突出了记忆效应.
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