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MCMC for systems with glassy dynamics

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Authors : Berthier, Ludovic (Author of the conference)
CIRM (Publisher )

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Abstract : Computer simulations give unique insights into the microscopic behavior of dense liquids approaching a glass transition. A major computational problem is that these systems take a very long time to reach thermal equilibrium. Monte Carlo approaches appear as a possible tool to produce very fast equilibrium glassy configurations by developing unphysical but smart algorithms to move the particles. I will review some possible solutions to this problem, and will emphasize a recent 'swap' Monte Carlo algorithm which dramatically speeds up the equilibration in realistic models of glasses.

MSC Codes :

Additional resources :
https://www.cirm-math.fr/RepOrga/2389/Slides/Berthier.pdf

    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 18/11/2021
    Conference Date : 28/09/2021
    Subseries : Research talks
    arXiv category : Condensed Matter
    Mathematical Area(s) : Numerical Analysis & Scientific Computing ; Mathematical Physics
    Format : MP4 (.mp4) - HD
    Video Time : 00:45:07
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2021-09-28_Berthier.mp4

Information on the Event

Event Title : On Future Synergies for Stochastic and Learning Algorithms / Sur les synergies futures autour des algorithmes d'apprentissage et stochastiques
Event 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.19818103
Cite this video as: Berthier, Ludovic (2021). MCMC for systems with glassy dynamics. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19818103
URI : http://dx.doi.org/10.24350/CIRM.V.19818103

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