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Memory formation in dense persistent active matter

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arxiv 2403.11701 v2 pith:KJ63T246 submitted 2024-03-18 cond-mat.soft cond-mat.dis-nncond-mat.stat-mech

classification cond-mat.softcond-mat.dis-nncond-mat.stat-mech
keywords memoryactivecorrelationdensedrivingformationmatterspatial
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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 and spatio-temporally correlated. Here we focus on the impact of such spatial correlation on memory formation. We investigate the mechanical response of a dense amorphous packing of athermal particles, subject to an oscillatory quasistatic driving with a tunable spatial correlation, akin to the instantaneous driving pattern in active matter. We find that the capacity to encode memory can be rendered comparable upon a proper rescaling on the spatial correlation, whereas the efficiency in memory formation increases with motion cooperativity.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Transport Properties of Active Particles Moving on Adjustable Networks

    cond-mat.soft 2026-02 conditional novelty 7.0 of 10

    Temporary trail-induced bond closures cause active-particle diffusivity to increase monotonically with persistence in the absence of steric interactions, and shift the optimal persistence time upward with healing time...

  2. Gigantic dynamical spreading and anomalous diffusion of jerky active particles

    cond-mat.soft 2025-07 conditional novelty 6.0 of 10

    A linear third-order 'jerk' equation driven by active Ornstein-Uhlenbeck noise yields mean-square displacement scaling with time exponents 6, 5, 4, or 3, and can destabilize harmonic confinement.

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