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Irreversible Monte Carlo methods for particle simulations
Multi angle
Authors : Maggs, Anthony (Author of the conference)
CIRM (Publisher )
Additional resources :
https://www.cirm-math.fr/RepOrga/2389/Slides/Maggs.pdf
CIRM (Publisher )
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Abstract :
The two workhorses of molecular simulation are molecular dynamics and Markov-chain Monte Carlo. In this talk we compare them with an alternative: 'Event chain Monte Carlo' in which detailed balance is replaced by the weaker balance condition. We characterise the large scale dynamics of each method pointing out where event chains can give rise to more efficient or more accurate calculations. By optimising the splitting of interactions in event chain methods we show (in hard sphere systems) that we are able to further accelerate the sampling of density modes.
MSC Codes : Additional resources :
https://www.cirm-math.fr/RepOrga/2389/Slides/Maggs.pdf
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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 18/11/2021 Conference Date : 28/09/2021 Subseries : Research talks arXiv category : Statistical Mechanics Mathematical Area(s) : Probability & Statistics ; Mathematical Physics Format : MP4 (.mp4) - HD Video Time : 00:52:01 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2021-09-28_Maggs.mp4 
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Information on the Event
Event Title : On Future Synergies for Stochastic and Learning Algorithms / Sur les synergies futures autour des algorithmes d'apprentissage et stochastiquesEvent Organizers : Durmus, Alain ; Michel, Manon ; Roberts, Gareth ; Zdeborova, Lenka Dates : 27/09/2021 - 01/10/2021 Event Year : 2021 Event URL : https://conferences.cirm-math.fr/2389.html
Citation Data
DOI : 10.24350/CIRM.V.19817703Cite this video as: Maggs, Anthony (2021). Irreversible Monte Carlo methods for particle simulations. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19817703 URI : http://dx.doi.org/10.24350/CIRM.V.19817703 |
See Also
- [Multi angle] MCMC for systems with glassy dynamics / Author of the conference Berthier, Ludovic.
- [Post-edited] Biased Monte Carlo sampling in RBMs / Author of the conference Seoane, Beatriz.
- [Multi angle] Molecular dynamics algorithms: numerical and mathematical analysis / Author of the conference Lelièvre, Tony.
- [Multi angle] Coupling rare event algorithms and deep neural network to predict extreme heat waves / Author of the conference Bouchet, Freddy.
Bibliography
- LEI, Ze, KRAUTH, Werner, et MAGGS, A. C. Event-chain Monte Carlo with factor fields. Physical Review E, 2019, vol. 99, no 4, p. 043301. - https://doi.org/10.1103/PhysRevE.99.043301
- FAULKNER, Michael F., QIN, Liang, MAGGS, A. C., et al. All-atom computations with irreversible Markov chains. The Journal of chemical physics, 2018, vol. 149, no 6, p. 064113. - https://doi.org/10.1063/1.5036638
- LI, Botao, TODO, Synge, MAGGS, Anthony C., et al. Multithreaded event-chain Monte Carlo with local times. Computer Physics Communications, 2021, vol. 261, p. 107702. - https://doi.org/10.1016/j.cpc.2020.107702
