David Lacoste

Teaching·Past course

Numerical methods and statistical physics

Tutorials combining statistical physics and numerical methods: Monte Carlo and molecular dynamics simulations, phase transitions and finite size scaling, exclusion processes and stochastic thermodynamics, with Python codes.

Master PTSC, UPMC (Sorbonne Université) · 2012 – 2016

Tutorials 2015 – 2016

  1. TD 1

    Introduction to large deviations and thermodynamics

  2. TD 2
  3. TD 3

    Molecular dynamics at constant temperature

    Codes for hard spheres: direct sampling, Markov sampling and the event-driven method.

  4. TD 4

    The structure factor

  5. TD 5

    Scaling theory and critical exponents

  6. TD 6

    Stochastic thermodynamics

  7. HW

    Homework

Tutorials 2014 – 2015

  1. TD 1
  2. TD 2
  3. TD 3
  4. TD 4
  5. TD 5
  6. TD 6
  7. TD 7
  8. TD 8

Tutorials 2013 – 2014

  1. TD 1
  2. TD 2
  3. TD 3
  4. TD 4
  5. TD 5

    Finite size scaling in first and second order transitions

  6. TD 6
  7. TD 7
  8. TD 8

    Non-equilibrium work relations

Exams

  1. 2013
  2. 2012