The Computational Mathematics activities at ORNL include the developing and deploying computational and applied mathematical capabilities for modeling, simulating, and predicting complex phenomena of importance to the Department of Energy (DOE). A particular focus is on developing novel scalable algorithms for exploiting novel high performance computing resources for scientific discovery as well as decision-sciences.
In addition to computational mathematics, ORNL conducts a broad range of theoretical research in the physical sciences. This work is tightly integrated with experimental programs and is committed to making effective use of modern theory and advanced computation to progress core science and technology. Efforts include a full range of theory activities, ranging from basic science aimed at providing the fundamental basis for long-term solutions to our energy problems, to near-term work addressing our nation's most pressing energy and security needs.