Michele Ceriotti

MXG 337 (Bâtiment MXG)
Station 12
CH-1015 Lausanne

Web site:  Web site:  https://cosmo.epfl.ch/

PH A2 364 (Bâtiment PH)
Station 3
CH-1015 Lausanne

Administrative data

Fields of expertise

Atomistic computer simulations, statistical mechanics, machine learning, molecular dynamics, nuclear quantum effects, molecular materials, nucleation. 

Teaching & PhD


Materials Science and Engineering


Introduction to atomic-scale modeling

This course provides an introduction to the modeling of matter at the atomic scale, using interactive jupyter notebooks to see several of the core concepts of materials science in action.

Statistical methods in atomistic computer simulations

The course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling of rare events, and non-linear dimensionality reduction).

Lecture series on scientific machine learning

This lecture presents ongoing work on how scientific questions can be tackled using machine learning. Machine learning enables extracting knowledge from data computationally and in an automatized way. We will learn on examples how this is influencing the very scientific method.