Regensburg 2019 – wissenschaftliches Programm

Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

DY: Fachverband Dynamik und Statistische Physik

DY 1: Tutorial: Statistical Physics Methods for Data Science in Physics (joint SOE/DY/CPP/BP/jDPG) (joint session SOE/TUT/DY)

DY 1.3: Tutorium

Sonntag, 31. März 2019, 17:40–18:30, H3

Multiscale simulations of soft matter augmented by data-driven methods — •Tristan Bereau — Max Planck Institute for Polymer Research

Multiscale simulations, all the way from quantum chemistry to continuum mechanics, probe a variety of length and time scales relevant to soft-matter systems. In this tutorial, I will describe different strategies to help improve physics-based simulations with recently-developed data-driven methods and concepts. Applications discussed will include Bayesian inference for molecular kinetics, machine learning to vastly improve force-field transferability, and high-throughput screening to explore chemical compound space.