Inferring the Langevin Equation with Uncertainty via Bayesian Neural
Networks
Inferring the Langevin Equation with Uncertainty via Bayesian Neural
Networks
Pervasive across diverse domains, stochastic systems exhibit fluctuations in processes ranging from molecular dynamics to climate phenomena. The Langevin equation has served as a common mathematical model for studying such systems, enabling predictions of their temporal evolution and analyses of thermodynamic quantities, including absorbed heat, work done on the system, …