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Related papers: Memory formation in jammed hard spheres

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The motion of an optically trapped sphere constrained by the vicinity of a wall is investigated at times where hydrodynamic memory is significant. First, we quantify, in bulk, the influence of confinement arising from the trapping potential…

Soft Condensed Matter · Physics 2009-11-13 Sylvia Jeney , Branimir Lukić , Jonas A. Kraus , Thomas Franosch , László Forró

The problem of finding the most efficient way to pack spheres has an illustrious history, dating back to the crystalline arrays conjectured by Kepler and the random geometries explored by Bernal in the 60's. This problem finds applications…

Soft Condensed Matter · Physics 2014-09-15 Ping Wang , Chaoming Song , Yuliang Jin , Hernan A. Makse

Experiments often probe observables that correspond to low-dimensional projections of highdimensional dynamics. In such situations distinct microscopic configurations become lumped into the same observable state. It is well known that…

Statistical Mechanics · Physics 2024-04-05 Xizhu Zhao , David Hartich , Aljaž Godec

Light storage, the controlled and reversible mapping of photons onto long-lived states of matter [1], enables memory capability in optical quantum networks [2-6]. Prominent storage media are warm alkali gases due to their strong optical…

Quantum Physics · Physics 2018-07-31 Or Katz , Ofer Firstenberg

We explore the concept of memory in scalar active matter, focusing on the collective dynamics of particles whose interactions depend on their evolutionary history rather than solely on their current configuration. We introduce the idea of…

Soft Condensed Matter · Physics 2026-03-25 Vaishnavi Gajendragad , Suropriya Saha

We provide a comprehensive picture of the jamming phase diagram by connecting the athermal, granular ensemble of jammed states and the equilibrium fluid through the inherent structure paradigm for a system hard discs confined to a narrow…

Soft Condensed Matter · Physics 2015-06-11 S. S. Ashwin , Mahdi Zaeifi Yamchi , Richard. K. Bowles

The staleness problem is a well-known problem when working with dynamic data, due to the absence of events for a long time. Since the memory of the node is updated only when the node is involved in an event, its memory becomes stale.…

Social and Information Networks · Computer Science 2022-09-07 Mor Ventura , Hadas Ben Atya , Dekel Brav

Rejuvenation and memory, long considered the distinguishing features of spin glasses, have recently been proven to result from the growth of multiple length scales. This insight, enabled by simulations on the Janus~II supercomputer, has…

It can be difficult to tell whether a trained generative model has learned to generate novel examples or has simply memorized a specific set of outputs. In published work, it is common to attempt to address this visually, for example by…

Machine Learning · Computer Science 2017-05-29 Matt Feiszli

We consider the theory of the glass phase and jamming of hard spheres in the large space dimension limit. Building upon the exact expression for the free-energy functional obtained previously, we find that the Random First Order Transition…

Statistical Mechanics · Physics 2013-12-02 Jorge Kurchan , Giorgio Parisi , Pierfrancesco Urbani , Francesco Zamponi

We simulate a model of self-propelled disks with soft repulsive interactions confined to a box in two dimensions. For small rotational diffusion rates, monodisperse disks spontaneously accumulate at the walls. At low densities, interaction…

Soft Condensed Matter · Physics 2014-03-05 Xingbo Yang , M. Lisa Manning , M. Cristina Marchetti

Arrays of atoms trapped in optical lattices are appealing as storage media for photons, since motional dephasing of the atoms is eliminated. The regular lattice is also associated with band structure in the dispersion experienced by…

Quantum Physics · Physics 2015-05-19 J. Nunn , U. Dorner , P. Michelberger , K. Reim , K. C. Lee , N. K. ~Langford , I. A. Walmsley , D. Jaksch

We discuss memory models which are based on tensor decompositions using latent representations of entities and events. We show how episodic memory and semantic memory can be realized and discuss how new memory traces can be generated from…

Artificial Intelligence · Computer Science 2017-08-29 Volker Tresp , Yunpu Ma

We report experimental evidence of a Gardner-like transition from variable to persistent force contacts in a two-dimensional, bidisperse granular crystal by analyzing the variability of both particle positions and force networks formed…

Soft Condensed Matter · Physics 2022-11-30 Lars Kool , Patrick Charbonneau , Karen E. Daniels

Solids are distinguished from fluids by their ability to resist shear. In traditional solids, the resistance to shear is associated with the emergence of broken translational symmetry as exhibited by a non-uniform density pattern, which…

Soft Condensed Matter · Physics 2017-05-16 Sumantra Sarkar , Dapeng Bi , Jie Zhang , Jie Ren , R. P. Behringer , Bulbul Chakraborty

The relationship between spatially heterogeneous dynamics (SHD) and jamming is studied in a glass-forming binary Lennard-Jones system via molecular dynamics simulations. It has been suggested that the probability distribution of…

Disordered Systems and Neural Networks · Physics 2007-05-23 Naida Lacevic , Sharon C. Glotzer

The plasticity of amorphous solids undergoing shear is characterized by quasi-localized rearrangements of particles. While many models of plasticity exist, the precise relationship between plastic dynamics and the structure of a particle's…

Soft Condensed Matter · Physics 2024-06-12 Jason W. Rocks , Sean A. Ridout , Andrea J. Liu

Athermal disordered systems can exhibit a remarkable response to an applied oscillatory shear: after a relatively few shearing cycles, the system falls into a configuration that had already been visited in a previous cycle. After this point…

Soft Condensed Matter · Physics 2017-08-16 Maxim O. Lavrentovich , Andrea J. Liu , Sidney R. Nagel

The stability-plasticity dilemma is a major challenge in continual learning, as it involves balancing the conflicting objectives of maintaining performance on previous tasks while learning new tasks. In this paper, we propose the…

Machine Learning · Computer Science 2024-03-06 Haneol Kang , Dong-Wan Choi

We show that there are several striking parallels between the dynamics of gelatin gels and spin glasses. In general, glassy systems retain a memory of their past history. A key characteristic differentiating spin glasses from most other…

Soft Condensed Matter · Physics 2007-05-23 Alan Parker , Valery Normand