论文标题
耗散表明驱动无序系统中的记忆形成
Dissipation indicates memory formation in driven disordered systems
论文作者
论文摘要
自准备以来，无序和无形材料通常会保留他们经历的扰动的记忆。研究这种记忆是理解这一具有挑战性的系统类别的门户，但它通常需要能够根据外部驱动器来衡量局部结构变化。在这里，我们表明耗散是用于记忆最大扰动的通用宏观指标。通过在循环驱动器下弄皱的床单的实验，我们表明，由于不可逆的结构变化和独特的统计数据，耗散量首次超过最大的扰动时会瞬时增加。这仅用于设计基于全局可观察物的新型内存读数协议。通过在三维无定形固体中揭示相似的记忆效应来证明这种方法的一般适用性。
Disordered and amorphous materials often retain memories of perturbations they have experienced since preparation. Studying such memories is a gateway to understanding this challenging class of systems, yet it often requires the ability to measure local structural changes in response to external drives. Here we show that dissipation is a generic macroscopic indicator for the memory of the largest perturbation. Through experiments in crumpled sheets under cyclic drive, we show that dissipation transiently increases when first surpassing the largest perturbation due to irreversible structural changes with unique statistics. This is used to devise novel memory readout protocols based on global observables only. The general applicability of this approach is demonstrated by revealing a similar memory effect in a three-dimensional amorphous solid.
