Flows are exact-likelihood generative neural networks that transform samples
from a simple prior distribution to the samples of the probability distribution
of interest. boltzmann generators (BG) combine flows an
Boltzmann Generators that are transferable across chemical space are proposed to generate approximate samples of molecular systems, enabling efficient reweighting to the target distribution of unseen systems and enhancing the efficiency of training on single molecular systems.