Dibak, Manuel and Klein, Leon and Krämer, Andreas and Noé, Frank
(2022)
*Temperature steerable flows and Boltzmann generators.*
Physical Review Research, 4
(4).

Full text not available from this repository.

Official URL: https://doi.org/10.1103/PhysRevResearch.4.L042005

## Abstract

Boltzmann generators approach the sampling problem in many-body physics by combining a normalizing flow and a statistical reweighting method to generate samples in thermodynamic equilibrium. The equilibrium distribution is usually defined by an energy function and a thermodynamic state. Here, we propose temperature steerable flows (TSFs) which are able to generate a family of probability densities parametrized by a choosable temperature parameter. TSFs can be embedded in generalized ensemble sampling frameworks to sample a physical system across multiple thermodynamic states.

Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences Mathematical and Computer Sciences > Mathematics Mathematical and Computer Sciences > Mathematics > Applied Mathematics |

Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics |

ID Code: | 3057 |

Deposited By: | Jana Jerosch |

Deposited On: | 19 Jan 2024 10:48 |

Last Modified: | 19 Jan 2024 10:48 |

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