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 computational methods.
The U.S. Department of Energy’s Argonne National Laboratory’s Educational Programs and Outreach department hosted Computer Science for All — Coding and Beyond, in December as a part of the Argonne National Laboratory, Chicago, initiative.
Physicist & computational scientist with expertise in chemistry, condensed matter physics, & computational physics. He specializes in methods & applications of Density Functional Theory, Quantum Chemistry, & Quantum Monte Carlo for functional materials.
Graham Fletcher has a background in quantum chemistry and supercomputing. His research interests focus on the development of highly scalable methods and algorithms for the accurate and reliable prediction of chemical phenomena.
Computational scientist with over 10 years’ experience designing, developing, and optimizing scientific software (chemistry, climate, material science) for high-performance computing platforms. Five of those years as a group leader in ALCF.