Boltzmann Generators: Deep Learning of Thermodynamics and Efficient Monte Carlo
ORAL
Abstract
We introduce Boltzmann Generators, a machine learning method to efficiently sample Boltzmann distributions of complex multibody physics systems that give rise naturally to thermodynamic properties of the system, such as free energies, entropies and temperature dependence.
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Presenters
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Frank Noe
Free University of Berlin
Authors
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Frank Noe
Free University of Berlin