Accelerating the Calculation of Hubbard Parameters Using Machine Learning - QE Tutorial 2022

Explore an advanced Quantum ESPRESSO tutorial focusing on accelerating Hubbard parameter calculations using machine learning techniques. Delve into the process of building models, implementing machine learning algorithms, and analyzing results for Hubbard and Koopmans functionals from linear response. Gain insights into the transferability of the methods and participate in a comprehensive discussion on the topic. Learn from expert Martin Uhrin as he guides you through this cutting-edge approach to computational materials science.

Intro
Building the model
Machine learning
Results
Transferability
Summary
Discussion