Discovering Dynamic Laws from Observations: The Case of Self-Propelled Particles

Explore the cutting-edge research on active matter systems presented in this 26-minute conference talk from the Workshop on "Transport Properties in Soft Matter Systems" at the Erwin Schrödinger International Institute for Mathematics and Physics. Delve into the challenges of determining forces controlling individual elements within active matter systems, spanning from cellular groups to bird flocks. Discover ActiveNet, a machine-learning tool designed to extract one and two-body forces acting on particles by analyzing their collective movement. Learn about the tool's successful applications in simulations of various active particle systems and its potential for studying experimental suspensions of active particles. Gain insights into how this innovative approach could revolutionize the modeling and understanding of active matter physics across diverse scales and systems.

Chantal Valeriani - Discovering dynamic laws from observations: the case of self-propelled...