This work extends its application beyond single-particle cryo-EM, using geometric machine learning to analyze molecular conformations from diverse biophysical data sources, and innovatively applies it to molecular simulations for adaptive sampling efforts.

-Embedding MD simulation trajectories in low-dimensional manifolds to pinpoint rare states