ICAMS / Interdisciplinary Centre for Advanced Materials Simulation


Using Hamiltonian Monte Carlo and machine learning to speed up sampling: Application to classical spin systems

Date: 18.09.2018
Place: Autumn School on Correlated Electrons DMFT: From Infinite Dimensions to Real Materials, Jülich, Germany

Ning Wang
Yury Lysogorskiy
Thomas Hammerschmidt
Jutta Rogal
Ralf Drautz

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