Predictive Mathematics Team (PMT)
I am the Team Leader of the Predictive Mathematics Team within the Applied Math Group at Oak Ridge National Laboratory. The role of the PMT at ORNL is to develop innovative, massively scalable and resilient mathematical and computational approaches for scientific (model) discovery as well as decision-sciences.
Scientific Discovery (SD): Can we improve the description of physical processes that are not well-understood? How do well-understood microscopic processes lead to macroscopic phenomena?
Decision-sciences (DS): How do uncertainties, ubiquitous in all modeling efforts, affect our predictions and understanding of such complex phenomena?
To address these objectives, we develop fundamental mathematics which (i) for problems that we cannot simulate, will improve our simulation capabilities and (ii) for problems we can simulate, apply predictive methodologies with rigorous uncertainty quantification (UQ) to support decision-makers and for engineering solutions.
The group of applied and computational mathematicians consists of staff members, postdocs and students listed below:
Rick Archibald, Senior Mathematician
Max Gunzburger, Distinguished Mathematician
Cory Hauck, Senior Mathematician
Miroslav Stoyanov, Mathematician
Clayton Webster, Senior Mathematician & Team Leader
Yulong Xing, Mathematician
Guannan Zhang, Householder Fellow & Mathematician
Diego Galindo (Mentor: C. Webster)
Kris Garrett (Mentor: C. Hauck)
Hoang Tran (Mentor: C. Webster)
Ph.D. Graduate Students
Nick Dexter (Advisor: C. Webster)
Peter Jantsch (Advisor: C. Webster)