Areas of Research

Areas of research:

Artificial Intelligence (AI)

Exploring the use of AI foundation models to make revolutionary advances in science and engineering applications.

LANL scientists: Earl Lawrence, Nathan DeBardeleben, Diane Oyen, Ayan Biswas, Arvind Mohan, Gowri Srinivasan, Juston Moore, Kyle Hickmann

U-M faculty: Venkat Viswanathan, Karthik Duraisamy

Codesign of Software and Hardware

Analyzing performance bottlenecks across important classes of computational algorithms with the goal of developing novel hardware and/or software solutions that accelerate a broad set of computational science calculations.

LANL scientists: Galen Shipman, Jered Dominguez-Trujillo, Kevin Sheridan, Kamalavasan Kamalakkannan

U-M faculty: Reetu Das, Scott Mahlke

Numerical Methods and Algorithms

Developing novel approaches to model multi-scale, multi-physics systems where we aim to expand the frontiers of fidelity and enable insight through rapid turnaround.  Among other areas, applications in high-energy-density physics and astrophysics are strong drivers.

LANL scientists: Josh Dolence, Chad Meyer, Jonah Miller, Patrick Mullen, Sam Jones, Luke Roberts

U-M faculty: Karthik Duraisamy, Alex Gorodetsky, Eric Johnsen, Venkat Raman

Fundamental Physics Modeling

Developing and analyzing basic physics models in all areas of physics, including nuclear and particle physics, fluid and plasma physics, condensed matter physics and material modeling, and combustion. Current efforts include modeling of transition and turbulence.

LANL scientists: Daniel Israel

U-M faculty: Karthik Duraisamy, Aaron Towne, Venkat Raman

High-Energy-Density-Physics

Studying the properties and dynamics of materials under extreme conditions through laboratory experiments and computational modeling.  We leverage both national and U-M facilities.

LANL scientists: Josh Sauppe

U-M faculty: Carolyn Kuranz, Ryan McBride, Eric Johnsen