Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz

Robust Prediction of Force Chains in Jammed Solids using Graph Neural Networks

Many-Body Quantum States with Exact Conservation of Non-Abelian and Lattice Symmetries through Variational Monte Carlo

Live Agent-Based Models

Statistical physics of social-economic systems in real and virtual worlds

Autoregressive neural networks for simulations in classical statistical physics

Monte Carlo study of neutrino scattering off atomic nuclei

Log-periodieke machtswetten in impulsspectra van hadronische fragmenten bij kern-kernbotsingen: een diagnose

Discrete schaalinvariantie en haar generatieve mechanismen

Neural network quantum states

Opinion dynamics on social networks with stubborn actors

Large deviation theory and machine learning for many-body processes

Machine learning for the study of many-body spin systems