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VESPER: Online Learning of Free Energies with a Multi-Tempered Variational Objective
Computing molecular free-energy landscapes over collective variables (CVs) is central to understanding molecular mechanisms, but poses a difficult learning problem without training data available a priori. Samples of the marginal CV distribution must be generated by molecular dynamics (MD), whose tr
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