Delves into computational quantum interaction phenomena in materials using high-performance computing, covering N-particle quantum mechanics, ab initio approaches, and the NOMAD Center of Excellence.
Explores enhancing machine learning predictions by refining error metrics and applying constraints for improved accuracy in electron density predictions.
