Learning Kinetic Monte Carlo stochastic dynamics with Deep Generative Adversarial Networks

Daniele Lanzoni, Olivier Pierre-Louis, Roberto Bergamaschini +1

We show that Generative Adversarial Networks (GANs) may be fruitfully exploited to learn stochastic dynamics, surrogating traditional models while capturing thermal fluctuations. S…