A Kinetically Constrained Model with a Thermodynamic Flavor
S.S. Ashwin

TL;DR
This paper introduces a kinetically constrained model derived from a thermodynamic model to better understand the interplay between thermodynamics and glassy dynamics, providing analytical insights into relaxation and fragility.
Contribution
It presents a novel derivation of a KCM with explicit thermodynamic features, enabling analytical study of landscape effects on glassy behavior.
Findings
Analytical calculation of N-point probability functions in different dynamical regimes
Identification of the glassy contribution to relaxation dynamics
Clarification of the role of landscape properties in fragility
Abstract
Kinetically constrained models (KCM) generically have trivial thermodynamics and yet manifest rich glassy dynamics. In order to resolve the thermodynamics-dynamics disconnect in KCMs, we derive a KCM by coarse-graining a non-trivial thermodynamic model with a solvable partition function. Blending of thermodynamics to the KCM makes the role of landscape properties on the relaxation times, fragility and its crossover analytically transparent. Using Bethe ansatz, we calculate the time-dependent -point probability function in the distinct dynamical regimes of the landscapes; the contribution of the glassy term is identified.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGlass properties and applications · Chemical and Physical Properties of Materials · Photorefractive and Nonlinear Optics
