Explores Generalized Langevin Equations and their computational implications in molecular dynamics simulations, emphasizing the impact of noise details on particle trajectories.
Explores explicit stabilised Runge-Kutta methods and their application to Bayesian inverse problems, covering optimization, sampling, and numerical experiments.
Explores the Non-equilibrium GLE sampling method for atomistic modeling and discusses S-like thermostats, quantum thermostat, anharmonic systems, and zero-point energy leakage.
