Development of a flexible and modularized first-principles machine-learning infrastructure for automatic new materials discovery – application to high-entropy alloys
Development of a flexible and modularized first-principles machine-learning infrastructure for automatic new materials discovery – application to high-entropy alloys. PI Professor Stefano Sanvito, CRANN, Trinity College Dublin. This project will develop an automatic workflow for integrating machine-learning and artificial intelligence with advanced electronic structure theory.