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- Corpus ID: 267616835
@inproceedings{Ghimenti2024IrreversibleMC, title={Irreversible Monte Carlo algorithms for hard disk glasses: from event-chain to collective swaps}, author={Federico Ghimenti and Ludovic Berthier and Fr{\'e}d{\'e}ric van Wijland}, year={2024}, url={https://api.semanticscholar.org/CorpusID:267616835}}- Federico Ghimenti, Ludovic Berthier, F. Wijland
- Published 9 February 2024
- Physics
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 polydisperse hard disks. The effect of collective translational moves marginally affects the dynamics and results in a modest speedup that decreases…
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One Citation
- Sangwoo KimS. Hilgenfeldt
- 2024
Physics
Understanding the way disordered particle packings transition between jammed (rigid) and unjammed (fluid) states is of both great practical importance and strong fundamental interest. The values of…
47 References
- Federico GhimentiL. BerthierG. SzamelF. van Wijland
- 2023
Physics
Physical review letters
Sampling the Boltzmann distribution using forces that violate detailed balance can be faster than with the equilibrium evolution, but the acceleration depends on the nature of the nonequilibrium…
- Tristan GuyonA. GuillinManon Michel
- 2024
Physics, Chemistry
The Journal of chemical physics
This work builds on the recent analytical characterization of such methods as generating Piecewise Deterministic Markov Processes (PDMP) to clearly decipher the necessary symmetries the PDMP must obey from the sufficient ones which may prove to be too restrictive in a general setting.
- Simone CiarellaJ. TrinquierM. WeigtF. Zamponi
- 2023
Physics, Computer Science
Mach. Learn. Sci. Technol.
This work studies the antiferromagnetic Potts model on a random graph, which reduces to the coloring of random graphs at zero temperature, and provides good benchmarks for future proposals for smart sampling algorithms.
- Athina MonemvassitisA. GuillinManon Michel
- 2023
Physics, Computer Science
Journal of Statistical Physics
This work characterize the Markov processes generated in ECMC as piecewise deterministic Markov Processes, which allows for more general schemes, and proves the invariance of the correct stationary distribution and the ergodicity of the processes in soft- and hard-sphere systems.
- L. BerthierD. Reichman
- 2023
Physics, Materials Science
Nature Reviews Physics
Progress is summarized towards overcoming the need to go beyond canonical methods when studying the glass transition and creating realistic in silico glasses, and discusses what understanding has been enabled.
- 24 [PDF]
- Camille ScallietBenjamin GuiselinL. Berthier
- 2022
Physics
Physical Review X
We combine the swap Monte Carlo algorithm to long multi-CPU molecular dynamics simulations to analyse the equilibrium relaxation dynamics of model supercooled liquids over a time window covering ten…
- 31 [PDF]
- J. BarratL. Berthier
- 2023
Materials Science, Physics
Comptes Rendus. Physique
We provide an overview of the different types of computational techniques developed over the years to study supercooled liquids, glassy materials and the physics of the glass transition. We organise…
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- 2022
Physics
Physical review. E
Event-chain Monte Carlo (ECMC) accelerates the sampling of hard-sphere systems, and has been generalized to the potentials used in classical molecular simulations. Rather than imposing detailed…
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- 2022
Materials Science
Proceedings of the National Academy of Sciences…
This work has created a unifying framework for protocols used in material design and training, and can understand that some protocols work better than others because the choice of new degrees of freedom matters.
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