Slow Relaxations and nonequilibrium dynamics in condensed matter

By École d'été de physique théorique, J. Barrat, École thématique du Cnrs. 2003

316 citations recorded by the source corpus.

From the Contents: Nonequilibrium Phase Transitions.- Mechanical Aging and Non-Linear Rheology of Concentrated Colloidal Suspensions: Experimental Facts and Simple Models.- Structural Relaxation and Rheology of Soft Condensed Matter.- Granular Matter: Some Ideas from Statistical Physics.- Supercooled Liquids, the Glass Transition, and Computer Simulations.- Glasses, Replicas and all that.- Dynamics of Glassy Systems.- Equilibrium States and Dynamics of Equilibration: General Issues and Open Questions.- Experimental Analysis of Aging.- Fluctuation Dissipation Relation in a Non-Stationary System: Experimental Investigation in a Spin Glass.- Non-Equilibrium Dynamics and Aging in the Electron Glass.- Proteins: Structural, Thermodynamic and Kinetic Aspects.- Self-Organized Criticality in Granular Superconductors.- Hiking Through Glassy Phases: Physics Beyond Aging. Kinetically Constrained Models and Driven Systems with Slow Dynamics.- Dynamic Transitions in Thermal and Athermal Systems.

Subfields: Astronomy and Astrophysics, Computational Mechanics, Condensed Matter Physics

View Paper: https://www.semanticscholar.org/paper/b395d6ceb23ab86590e8661a8ebba732b2982037

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In Astronomy and Astrophysics

In Computational Mechanics

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Citations in the corpus

The Random First-Order Transition Theory of Glasses: a critical assessment (2009, methodology): “[48, 62, 63]): for T > Td, the system only explores with high probability unstable stationary points of the Hamiltonian, and relaxation can proceed without any large barrier crossing: the correlation function decays fast and quasi-exponentially.”
Persistence and first-passage properties in nonequilibrium systems (2013, background): “For instance, the two-time correlation function of the order parameter C(t, t′) takes, for large times t, t′ the scaling form C(t, t′) ∼ FC[L(t)/L(t′)] [14], known under the name of ‘simple aging’ [20].”
Comparing dynamics: deep neural networks versus glassy systems (2018, background): “Disordered systems are known to display glassy dynamics after a quench, which means that the system gets stuck for long times in local minima (Biroli, 2016; Bouchaud et al., 1998; Berthier & Biroli, 2011; Cugliandolo, 2003).”
Crises and Collective Socio-Economic Phenomena: Simple Models and Challenges (2012, background): “Kirman, The economic crisis is a crisis for economic theory, CESifo Economic Studies, 56, 498 (2010) [144] J.”