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Data from: Equilibrium fluctuations in mean-field disordered models

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Charbonneau, P; Folena, G; Zamponi, F; Hu, Y; Biroli, G
July 22, 2022

Mean-field models of glasses that present a random first order transition exhibit highly nontrivial fluctuations. Building on previous studies that focused on the critical scaling regime, we here obtain a fully quantitative framework for all equilibrium conditions. By means of the replica method we evaluate Gaussian fluctuations of the overlaps around the thermodynamic limit, decomposing them in thermal fluctuations inside each state and heterogeneous fluctuations between different states. We first test and compare our analytical results with numerical simulation results for the p-spin spherical model and the random orthogonal model, and then analyze the random Lorentz gas. In all cases, a strong quantitative agreement is obtained. Our analysis thus provides a robust scheme for identifying the key finite-size (or finite-dimensional) corrections to the mean-field treatment of these paradigmatic glass models.

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Publication Date

July 22, 2022
 

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Charbonneau, P., Folena, G., Zamponi, F., Hu, Y., & Biroli, G. (2022). Data from: Equilibrium fluctuations in mean-field disordered models. https://doi.org/10.7924/r42f7w487
Charbonneau, Patrick, Giampaolo Folena, Francesco Zamponi, Yi Hu, and Giulio Biroli. “Data from: Equilibrium fluctuations in mean-field disordered models,” July 22, 2022. https://doi.org/10.7924/r42f7w487.
Charbonneau P, Folena G, Zamponi F, Hu Y, Biroli G. Data from: Equilibrium fluctuations in mean-field disordered models. 2022.
Charbonneau, Patrick, et al. Data from: Equilibrium fluctuations in mean-field disordered models. 22 July 2022. Manual, doi:10.7924/r42f7w487.
Charbonneau P, Folena G, Zamponi F, Hu Y, Biroli G. Data from: Equilibrium fluctuations in mean-field disordered models. 2022.

DOI

Publication Date

July 22, 2022