We invite all interested to attend the ESPResSo summer school "Systematic coarse-graining and machine learning in soft matter physics with ESPResSo" on October 6-10, 2025, University of Stuttgart, Germany.
The school will focus on coarse-grained and lattice-based simulations methods to model soft matter systems at mesoscopic length and time scales. We will explore both systematic and machine-learning based coarse-graining as well as reverse coarse-graining, chemical space exploration, machine learning descriptors, machine-learned effective potentials, reinforcement learning, soft matter physics, and lattice-Boltzmann hydrodynamics. Lectures will provide an introduction to the physics and simulation model building as well as an overview of the necessary simulation algorithms to resolve physical processes at different time scales. During the afternoon, students will practice running their own simulations in hands-on sessions using ESPResSo. Time will be dedicated to research talks and poster sessions.
Invited speakers:
* Philip Loche, EPFL (Switzerland)
* Denis Andrienko, Max Planck Institute for Polymer Research (Germany)
* Christoph Junghans, Los Alamos National Laboratory (United States)
* Simon Olsson, Chalmers University of Technology (Sweden)
* Julija Zavadlav, Technical University of Munich (Germany)
* Nico van der Vegt, Technical University of Darmstadt (Germany)
* Markus Miettinen, University of Bergen (Norway)
Attendance to the summer school is free of charge. To register, go to https://www.cecam.org/workshop-details/1406 and write a short motivation and CV.
Call for contributions: you can submit a poster abstract until September 26, 2025.