Data and scripts from: Jamming, relaxation, and memory in a minimally structured glass former

Public

  • Structural glasses form through various out-of-equilibrium processes, including temperature quenches, rapid compression (crunches), and shear. Although each of these processes should be formally understandable within the recently formulated dynamical mean-field theory (DMFT) of glasses, the numerical tools needed to solve the DMFT equations up to the relevant physical regime do not yet exist. In this context, numerical simulations of minimally structured (and therefore mean-field-like) model glass formers can aid the search for and understanding of such solutions, thanks to their ability to disentangle structural from dimensional effects. We study here the infinite-range Mari-Kurchan model under simple out-of-equilibrium processes, and we compare results with the random Lorentz gas [J. Phys. A 55, 334001 (2022)]. Because both models are mean-field-like and formally equivalent in the limit of infinite spatial dimensions, robust features are expected to appear in the DMFT as well. The comparison provides insight into temperature and density onsets, memory, as well as anomalous relaxation. This work also further enriches the algorithmic understanding of the jamming density. ... [Read More]

Total Size
5 files (225 MB)
Data Citation
  • Morse, P., & Charbonneau, P. (2023). Data and scripts from: Jamming, relaxation, and memory in a minimally structured glass former. Duke Research Data Repository. https://doi.org/10.7924/r4th8qc0b
DOI
  • 10.7924/r4th8qc0b
Publication Date
ARK
  • ark:/87924/r4th8qc0b
Type
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Funding Agency
  • Simons Foundation
  • National Science Foundation
Grant Number
  • 454937
  • ACI-1548562
Title
  • Data and scripts from: Jamming, relaxation, and memory in a minimally structured glass former