# Martin's teaching resources

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## Statistical physics (ICFP Soft Matter and Biophysics M2 program)

The semester is divided into two parts.#### Part 1: Phase transitions, broken symmetry and universality

Emmanuel Trizac is in charge of the main lecture of this section of the course, while Martin conducts the exercise sessions. Go to Emmanuel's website to download all relevant material.

#### Part 2: Nonequilibrium phenomena

Martin is in charge of this whole section, covering the following topics:

- The Langevin and Fokker-Planck equations
- Linear response theory
- Generalized hydrodynamics
- Active matter

- The Langevin equation, in and out of equilibrium
- Nonequilibrium phase separation
- Connecting the microscopic and the macroscopic in fluid flows

## Biophysics (Physics of Complex Systems M2 program)

The course explores intracellular processes with soft matter and statistical physics, including the cytoskeleton and the cell membrane. Its emphasis is on connecting microscopic processes with macroscopic behaviors, and the emergence of unusual active material properties. The main lectures are accompanied by tutorials:

- Entropic elasticity of a semiflexible filament
- Elasticity and force transmission in the cytoskeleton (upcoming)
- Membrane-protein interactions (upcoming)

and modeling projects, where students propose models for experimental data without the usual detailed guidance of an exercise sheet:

- Chromosome distances (data)
- Formin speed (data)
- Oxygen binding to hemoglobin (data)
- Opening probability of a membrane channel (data)
- Titin extension (data)

References for that data are only given at the end of the semester, to encourage students to use their imagination rather than imitate the model of the original paper.

As a warm-up ahead of the first modeling project session, download this dataset, and use your computer to find the exponent of the power law dependence \(y\propto x^\alpha\), as well as the values of the two numerical coefficients of \(z= a\tanh(b\ln x)\). Don't forget to plot the data and the fit together for comparison.