Systematic coarse-graining and machine learning in soft matter physics with ESPResSo This school will teach coarse-graining, 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 model building of these systems as well as an overview of the necessary simulation algorithms. During the afternoon, participants will practice running their own simulations in tutored hands-on sessions using the software ESPResSo. Many of the lectures and hands-on sessions will be taught by developers of the software. Hence, the school will also provide a platform for discussion between developers and users about the future of the software used in the hands-on sessions. Moreover, users can get advice on their specific simulation projects. Time will also be dedicated to research talks, which illustrate how the simulation models and software are applied, and which provide further background on simulating soft matter at different length and time scales. October 6, 2025 - October 10, 2025 Registration deadline: September 5, 2025 (registration) Location: CECAM-DE-SMSM, Institute for Computational Physics, University of Stuttgart, Stuttgart « All Events ESPResSo Summer Schools October 6 - October 10 Website: https://www.cecam.org/workshop-details/systematic-coarse-graining-and-machine-learning-in-soft-matter-physics-with-espresso-1406 Institute for Computational Physics Allmandring 3 Stuttgart, 70569 Germany+ Google Map   Add to calendar Google Calendar iCalendar Outlook 365 Outlook Live EESSI CI/CD hackathon