A language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory

Hovan Lee, Zelong Zhao, George Booth +2

We present SCALINN -- Strongly Correlated Approach with Language Inspired Neural Network -- as a method for solving the Anderson impurity model and reducing the computational cost…