Machine learning renormalization group for statistical physics

We develop a machine-learning renormalization group (MLRG) algorithm to explore and analyze many-body lattice models in statistical physics. Using the representation learning capability of generative modeling, MLRG automatically learns the optimal renormalization group (RG) transformations from self...

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Bibliographic Details
Published in:Machine Learning: Science and Technology
Main Authors: Wanda Hou, Yi-Zhuang You
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Subjects:
generative modeling
statistical physics
renormalization group
Online Access:https://doi.org/10.1088/2632-2153/ad0101

Internet

https://doi.org/10.1088/2632-2153/ad0101

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