Irreversible Monte Carlo Algorithms for Hard Disk Glasses: From Event-Chain to Collective Swaps - Archive ouverte HAL
Article Dans Une Revue Physical Review Letters Année : 2024

Irreversible Monte Carlo Algorithms for Hard Disk Glasses: From Event-Chain to Collective Swaps

Résumé

Equilibrium sampling of the configuration space in disordered systems requires algorithms that bypass the glassy slowing down of the physical dynamics. Irreversible Monte Carlo algorithms breaking detailed balance successfully accelerate sampling in some systems. We first implement an irreversible event-chain Monte Carlo algorithm in a model of continuously polydisperse hard disks. The effect of collective translational moves marginally affects the dynamics and results in a modest speedup that decreases with density. We then propose an irreversible algorithm performing collective particle swaps which outperforms all known Monte Carlo algorithms. We show that these collective swaps can also be used to prepare very dense jammed packings of disks.
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Dates et versions

hal-04652024 , version 1 (17-07-2024)

Identifiants

Citer

Federico Ghimenti, Ludovic Berthier, Frédéric van Wijland. Irreversible Monte Carlo Algorithms for Hard Disk Glasses: From Event-Chain to Collective Swaps. Physical Review Letters, 2024, 133 (2), pp.028202. ⟨10.1103/PhysRevLett.133.028202⟩. ⟨hal-04652024⟩
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