Argonne maintains a wide-ranging science and technology portfolio that seeks to address complex challenges in interdisciplinary and innovative ways. Below is a list of all articles, highlights, profiles, projects, and organizations related specifically to performance portability.
Murat has experience in developing & implementing scalable methods related to electronic & vibrational structure of molecules & extended systems. He has interest in applying deep learning methods for accurate calculations of thermochemical properties.
James specializes in quantum field theory and lattice simulation methods, with an emphasis on lattice QCD. He also has interests in quantum computing, HPC, sparse linear algebra, applying ML methods to Hybrid Monte Carlo, and random matrix theory.