Michele Ceriotti

EPFL STI SMX-GE
MXG 337 (Bâtiment MXG)
Station 12
CH-1015 Lausanne

EPFL AVP-PGE EDMX-ENS
MXF 110 (Bâtiment MXF)
Station 12
CH-1015 Lausanne

EPFL STI IMX COSMO
MXG 337 (Bâtiment MXG)
Station 12
CH-1015 Lausanne

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

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

vCard
Administrative data

Fields of expertise

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

Publications

Infoscience publications

Teaching & PhD

Teaching

Materials Science and Engineering

PhD Programs

Doctoral Program in Materials Science and Engineering

Doctoral Program in Physics

Doctoral Program in Chemistry and Chemical Engineering

Courses

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.