About The Project

This tool is designed to predict interacting Green functions by noninteracting ones.
One can build a database of Green's functions, train different models and use them to predict G, obtain density of states.

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Prerequisites

• triqs_cthyb

  mamba install conda-forge::triqs_cthyb

• triqs

mamba install -c conda-forge triqs

• PyTorch

  conda create --name triqs python pytorch cpuonly -c pytorch

• triqs-maxent

pip install triqs-maxent

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Usage

Notebooks:

• *sample_analize *:Plot G, G_0 and other features of single sample
• gf2ML: Build, calculate and plot samples from the database
• train_model: Train ML model to predict G by G_0

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Contact

Egor Agapov - agapov.em@phystech.edu

Project Link: https://github.com/EgorcaA/gf2ML

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