Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size

Albert Musaelian, Anders Johansson, Simon Batzner +1

This work brings the leading accuracy, sample efficiency, and robustness of deep equivariant neural networks to the extreme computational scale. This is achieved through a combinat…