PHYS-759 / 1 crédit

Enseignant(s): Tu Yuhai, Rahi Sahand Jamal

Langue: Anglais

Remark: October 17th - 21st 2022


Only this year


We will discuss recent topics in nonequilibrium physics of complex living and artificial systems, ranging from collective behaviors in active matter to noise and information processing in cellular biophysics to stochastic learning dynamics in deep artificial neural networks.



complex systems, collective behavior, out-of-equilibrium systems, active matter, information processing, learning

Learning Prerequisites

Required courses

Statistical Mechanics; Stochastic Processes; Cellular Biophysics; Artificial Neural Networks

Learning Outcomes

By the end of the course, the student must be able to:

  • Gain basic knowledge and exposure to the frontiers of nonequilibrium physics and its applications to active matter, living systems, and machine learning.



See section "Content" above.

Dans les plans d'études

  • Nombre de places: 25
  • Forme de l'examen: Exposé (session libre)
  • Matière examinée: Nonequilibrum Physics for Complex Systems
  • Cours: 12 Heure(s)
  • Projet: 2 Heure(s)

Semaine de référence