Finally, we consider training Boltzmann surrogates with large-scale data a promising direction. With data sharing taking an increasing priority, simulation data using similar protocols are deposited in scientific data repositories. Although these simulations may not be fully converged, they still contain valuable information to build general transferable Boltzmann surrogates. Indeed, the data we used to train our model is clearly not converged, however, we can still learn a useful surrogate. Mining this data to train Boltzmann surrogates could increase the transferability and therefore the usefulness of these systems.