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Neural networks can now find all distinct energy levels of the beryllium atom, thanks to a novel wave function architecture that models multiple electronic states simultaneously and trains 200x faster.
Diffusion models can now efficiently tackle rare event sampling in molecular dynamics, unlocking rapid calculation of folding free energies in minutes to hours on a GPU.
