Sebastian Falkner

GenAIMMD is introduced, an iterative algorithm that actively and self-consistently learns the ideal reaction coordinate (the committor) and trains a conditioned Boltzmann Generator to sample from arbitrary bias windows along it, providing a correlation-free and fully parallelizable path sampling scheme that does not require prior knowledge of the system's transition mechanism.