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== Course description ==
== Course description ==


This course deals with systems in which the presence of impurities or amorphous structures (in other words, of disorder) influences radically the physics, generating novel phenomena. These phenomena involve the properties of the system at equilibrium (freezing and glass transitions), as well as their dynamical evolution out-of-equilibrium (pinning, avalanches), giving rise to ergodicity breaking both in absence and in presence of quantum fluctuations (classical metastability, quantum localization). We discuss the main statistical physics models that are able to capture the phenomenology of these systems, as well as the powerful theoretical tools (replica theory, large deviations, random matrix theory, scaling arguments, strong-disorder expansions) that have been developed to characterize quantitatively their physics. These theoretical tools nowadays have a huge impact in a variety of fields that go well-beyond statistical physics (computer science, probability, condensed matter, theoretical biology).
This course deals with systems in which the presence of impurities or amorphous structures (in other words, of disorder) influences radically the physics, generating novel phenomena. These phenomena involve the properties of the system at equilibrium (freezing and glass transitions), as well as their dynamical evolution out-of-equilibrium (pinning, avalanches), giving rise to ergodicity breaking both in absence and in presence of quantum fluctuations (classical metastability, quantum localization). We discuss the main statistical physics models that are able to capture the phenomenology of these systems, as well as the powerful theoretical tools (replica theory, large deviations, random matrix theory, scaling arguments, strong-disorder expansions) that have been developed to characterize quantitatively their physics. These theoretical tools nowadays have a huge impact in a variety of fields that go well-beyond statistical physics (computer science, probability, condensed matter, theoretical biology). Below is a list of topics discussed during the course




*  Introduction to disordered systems and to the sspin glass transition. // The simplest spin-glass: solution of the Random Energy Model.
Finite dimensional disordered systems
*  Interface growth. // The replica method: the solution of the spherical p-spin model (1/2).
 
*  Directed polymers in random media. // The replica method: the solution of the spherical p-spin model (2/2).
*  Introduction to disordered systems and to the spin glass transition.
*  Scenarios for the glass transition: the glass transition in KPZ in d>2. // Sketch of the solution of Sherrington Kirkpatrick model (full RSB).
*  Interface growth.
*  Depinning and avalanches. // Towards glassy dynamics: rugged landscapes.
*  Directed polymers in random media.  
*  Avalanches  and Bienaymé-Galton-Watson processes. // Slow dynamics and aging: the trap model.
*  Scenarios for the glass transition: the glass transition in KPZ in d>2.  
*  Anderson localization: introduction. // The Anderson model on the Bethe lattice: the mobility edge (1/2).
*  Depinning and avalanches.  
Localization in 1D: transfer matrix and Lyapunov. // The Anderson model on the Bethe lattice: the mobility edge (2/2).
*  Avalanches  and Bienaymé-Galton-Watson processes.
*  Anderson localization: introduction.  
*  Localization in 1D: transfer matrix and Lyapunov.
 
Mean-field disordered systems
 
The simplest spin-glass: solution of the Random Energy Model.
*  The replica method: the solution of the spherical p-spin model.
*  Sketch of the solution of Sherrington Kirkpatrick model (full RSB).
Towards glassy dynamics: rugged landscapes.
*  Slow dynamics and aging: the trap model.
* The Anderson model on the Bethe lattice: the mobility edge


=Lectures and tutorials=
=Lectures and tutorials=

Revision as of 17:14, 3 January 2025

Welcome to the WIKI page for the year 2024-2025 of the ICFP course on Statistical Physics of Disordered Systems.


Course description

This course deals with systems in which the presence of impurities or amorphous structures (in other words, of disorder) influences radically the physics, generating novel phenomena. These phenomena involve the properties of the system at equilibrium (freezing and glass transitions), as well as their dynamical evolution out-of-equilibrium (pinning, avalanches), giving rise to ergodicity breaking both in absence and in presence of quantum fluctuations (classical metastability, quantum localization). We discuss the main statistical physics models that are able to capture the phenomenology of these systems, as well as the powerful theoretical tools (replica theory, large deviations, random matrix theory, scaling arguments, strong-disorder expansions) that have been developed to characterize quantitatively their physics. These theoretical tools nowadays have a huge impact in a variety of fields that go well-beyond statistical physics (computer science, probability, condensed matter, theoretical biology). Below is a list of topics discussed during the course


Finite dimensional disordered systems

  • Introduction to disordered systems and to the spin glass transition.
  • Interface growth.
  • Directed polymers in random media.
  • Scenarios for the glass transition: the glass transition in KPZ in d>2.
  • Depinning and avalanches.
  • Avalanches and Bienaymé-Galton-Watson processes.
  • Anderson localization: introduction.
  • Localization in 1D: transfer matrix and Lyapunov.

Mean-field disordered systems

  • The simplest spin-glass: solution of the Random Energy Model.
  • The replica method: the solution of the spherical p-spin model.
  • Sketch of the solution of Sherrington Kirkpatrick model (full RSB).
  • Towards glassy dynamics: rugged landscapes.
  • Slow dynamics and aging: the trap model.
  • The Anderson model on the Bethe lattice: the mobility edge

Lectures and tutorials

Date 14h00-15h45 16h00-17h45
Week 1 (20/01)
Week 2 (27/01)
Week 3 (03/02)
Week 4 (10/02)
Week 5 (17/02)
Week 6 (03/03)
Week 7 (10/03)
Week 8 (17/03)
Week 9 (24/03)


Homework

DONE


Practical Information

Evaluation and exam

The students have two possibilities:

(1) A final written exam which counts for the total grade.

(2) An homework assignement + a written exam. The final grade is given by a weighted average of the two grades (the homework counts 1/4 and the written exam 3/4).

The written exam will be on Monday, April 8th at ENS, salle Froidevaux (E314) in the geosciences department, staring at 2pm ad ending at 5pm.

Where and When

  • Lectures on Monday: from 2pm to 4 pm. Tutorials on Monday: from 4 pm to 6pm.
  • Room 14.24.207 in Jussieu campus
  • Slack channel for discussions [1]

The Team