
TL;DR
This paper reviews recent theoretical advances in understanding the slow dynamics of glassy systems, focusing on mean field techniques and the implications of dynamical transitions for real glasses.
Contribution
It highlights how mean field methods and dynamical transition concepts can be applied to real glassy systems, advancing theoretical understanding.
Findings
Identification of a pure dynamical transition in some glass models
Application of random Hamiltonian results to specific Hamiltonians
Enhanced understanding of glassy transition mechanisms
Abstract
We will review some of the theoretical progresses that have been recently done in the study of slow dynamics of glassy systems: the general techniques used for studying the dynamics in the mean field approximation and the emergence of a pure dynamical transition in some of these systems. We show how the results obtained for a random Hamiltonian may be also applied to a given Hamiltonian. These two results open the way to a better understanding of the glassy transition in real systems.
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.
