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.
| Schedule | Activity | Description |
| 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) |
| 10:00-10:45 | Coffee break | |
| 10:45-12:15 | Lesson 2 – Module 2 | Brownian motion, Langevin equation. (D. Frezzato) |
| 12:30 | Lunch | |
| 14:30-16:00 | Exercise 2A | Brownian simulations: implementation, time evolution of probability density. (S. Rampino, M. Zerbetto) |
| 16:30-18:00 | Exercise 2B | Stochastic simulation of a molecular rotor. (D. Frezzato, F. Avanzini). |