Inferring Interaction Laws and Particle Properties in Complex Many-Body Systems using Physics-Constrained Machine Learning

A physics-constrained machine learning model can accurately infer non-reciprocal interaction forces, environmental forces, and particle-level properties such as mass and charge from experimental data in a complex many-body system (dusty plasma).