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Machine Learning Renormalization Group

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Machine Learning Renormalization Group

Related paper: https://arxiv.org/abs/2306.11054

Content of this repository:

  • MLRG.py contains the PyTorch implementation of the MLRG algorithm.
  • MLRG.ipynb contains code to train the models.
  • MLRG.nb contains code to analyze the trained models and extract physical properties.
  • Models are saved in the folder models.

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Machine Learning Renormalization Group

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  • Wolfram Language 97.8%
  • Python 2.0%
  • Jupyter Notebook 0.2%