PHYS-759 / 1 credit

Teacher(s): Tu Yuhai, Rahi Sahand Jamal

Language: English

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.

In the programs

  • Number of places: 25
  • Exam form: Oral presentation (session free)
  • Subject examined: Nonequilibrum Physics for Complex Systems
  • Lecture: 12 Hour(s)
  • Project: 2 Hour(s)

Reference week