Wednesday, February 7, 2024
Classical stochastic methods, part 1

On the second day, students will learn the basic tools for developing stochastic models from deterministic MD simulations.

8:30-10:00 Lesson 2 – Module 1 Probability theory: a mathematical tool to handle the “randomness” of relevant coordinates in complex systems.
(A. Polimeno)
10:00-10:45Coffee break

10:45-12:15Lesson 2 – Module 2

Brownian motion, Langevin equation.
(D. Frezzato)

14:30-16:00Exercise 2A

Brownian simulations: implementation, time evolution of probability density.
(S. Rampino, M. Zerbetto)
16:30-18:00Exercise 2B

Stochastic simulation of a molecular rotor.
(D. Frezzato, F. Avanzini).