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相关论文: Mechanical memories in solids, from disorder to de…

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A wide range of materials can exist in microscopically disordered solid forms, referred to as amorphous solids or glasses. Such materials -- oxide glasses and metallic glasses, to polymer glasses, and soft solids such as colloidal glasses,…

软凝聚态物质 · 物理学 2021-08-20 Anshul D. S. Parmar , Srikanth Sastry

Memory formation in matter is a theme of broad intellectual relevance; it sits at the interdisciplinary crossroads of physics, biology, chemistry, and computer science. Memory connotes the ability to encode, access, and erase signatures of…

软凝聚态物质 · 物理学 2019-08-27 Nathan C. Keim , Joseph D. Paulsen , Zorana Zeravcic , Srikanth Sastry , Sidney R. Nagel

Memory encoding by cyclic shear is a reliable process to store information in jammed solids, yet its underlying mechanism and its connection to the amorphous structure are not fully understood. When a jammed sphere packing is repeatedly…

软凝聚态物质 · 物理学 2021-10-27 Francesco Arceri , Eric I. Corwin , Varda F. Hagh

Shearing a disordered or amorphous solid for many cycles with a constant strain amplitude can anneal it, relaxing a sample to a steady state that encodes a memory of that amplitude. This steady state also features a remarkable stability to…

软凝聚态物质 · 物理学 2023-02-27 Nathan C. Keim , Dani Medina

Disordered systems subject to a fluctuating environment can self-organize into a complex history-dependent response, retaining a memory of the driving. In sheared amorphous solids, self-organization is established by the emergence of a…

软凝聚态物质 · 物理学 2026-01-08 Muhittin Mungan , Eric Clement , Damien Vandembroucq , Srikanth Sastry

Memory is often defined as the mental capacity of retaining information about facts, events, procedures and more generally about any type of previous experience. Memories are remembered as long as they influence our thoughts, feelings, and…

神经元与认知 · 定量生物学 2017-06-16 Stefano Fusi

The mechanical behavior of disordered materials such as dense suspensions, glasses or granular materials depends on their thermal and mechanical past. Here we report the memory behavior of a quenched mesoscopic elasto-plastic (QMEP) model.…

软凝聚态物质 · 物理学 2024-09-13 Dheeraj Kumar , Muhittin Mungan , Sylvain Patinet , Damien Vandembroucq

Machine learning has found its way into almost every area of science and engineering, and we are only at the beginning of its exploration across fields. Being a popular, versatile and powerful framework, machine learning has proven most…

计算工程、金融与科学 · 计算机科学 2022-03-15 Siddhant Kumar , Dennis M. Kochmann

Amorphous solids are mechanically rigid while possessing a disordered structure similar to that of dense liquids. Recent research indicates that dynamical heterogeneity, spatio-temporal fluctuations in local dynamical behavior, might help…

统计力学 · 物理学 2011-06-10 Ludovic Berthier

Soft, disordered, micro-structured materials are ubiquitous in nature and industry, and are different from ordinary fluids or solids, with unusual, interesting static and flow properties. The transition from fluid to solid -at the so-called…

软凝聚态物质 · 物理学 2016-07-12 Nishant Kumar , Stefan Luding

Amorphous solids, or glasses, are distinguished from crystalline solids by their lack of long-range structural order. At the level of two-body structural correlations, glassformers show no qualitative change upon vitrifying from a…

软凝聚态物质 · 物理学 2015-06-11 C. Patrick Royall , Stephen R. Williams

We simulate static memory materials on a two-dimensional lattice. The bulk properties of such materials depend on boundary conditions. Considerable information can be stored in various local patterns. We observe local probabilities…

统计力学 · 物理学 2018-02-26 D. Sexty , C. Wetterich

Previous mechanical meta-structures used for mechanical memory storage, computing and information processing are severely constrained by low information density and/or non-robust structural stiffness to stably protect the maintained…

应用物理 · 物理学 2024-02-28 Yanbin Li , Shuangyue Yu , Haitao Qing , Yaoye Hong , Yao Zhao , Fangjie Qi , Hao Su , Jie Yin

Memory effects are ubiquitous in nature and are particularly relevant at the nanoscale where the dynamical properties of electrons and ions strongly depend on the history of the system, at least within certain time scales. We review here…

介观与纳米尺度物理 · 物理学 2011-03-02 Yuriy V. Pershin , Massimiliano Di Ventra

Solid modeling is a technique underlying CAD software as we see it today, and its theories and algorithms are among the most fundamental milestones in the historical development of CAD. Basically, it has answered the question of what…

图形学 · 计算机科学 2023-03-01 Qiang Zou

We study a model amorphous solid that is subjected to repeated athermal cyclic shear deformation. It has previously been demonstrated that the memory of the amplitudes of shear deformation the system is subjected to (or trained at) is…

软凝聚态物质 · 物理学 2018-05-24 Monoj Adhikari , Srikanth Sastry

We show that memory can be encoded in a model amorphous solid subjected to athermal oscillatory shear deformations, and in an analogous spin model with disordered interactions, sharing the feature of a deformable energy landscape. When…

统计力学 · 物理学 2014-01-17 D. Fiocco , G. Foffi , S. Sastry

Protocol-dependent states in structural glasses can encode a disordered, yet retrievable memory. While training such materials is typically done via a global drive, such as external shear, in dense active matter the driving is instead local…

软凝聚态物质 · 物理学 2024-04-05 Elisabeth Agoritsas , Peter K. Morse

Disordered solids, straddling the solid-fluid boundary, lack a comprehensive continuum mechanical description. They exhibit a complex microstructure wherein multiple meta-stable states exist. Deforming disordered solids induces particles…

软凝聚态物质 · 物理学 2024-04-23 Yael Cohen , Amit Schiller , Dong Wang , Joshua Dijksman , Michael Moshe

An intrinsic feature of disordered and out-of-equilibrium materials, such as glasses, is the dependence of their properties on their history. An important example is rheological memory, in which disordered solids obtain properties based on…

软凝聚态物质 · 物理学 2025-03-04 Yihao Chen , Simon A. Rogers , Suresh Narayanan , James L. Harden , Robert L. Leheny
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