Developing scalable and coupled algorithms for engineering, cybernetics, and autonomous and complex systems applications.

Researchers in the Advanced Computing Methods for Engineered Systems section supply a wide variety of tools aimed at improving understanding of complex phenomena and the deployment of applied, large-scale systems. These include performance-portable applications and algorithms for coupled physics simulations at scale, as well as high-fidelity modeling and numerical tools for fluid dynamics and complex flow physics; disruptive technologies at the extreme scale, such as multimodal sensing and pioneering algorithms for large laser arrays, signal processing algorithms, and online computing for sensing platforms; and solutions for sensor data aggregation.

CONTACT

Thomas M. Evans

Section Head and Distinguished R&D Staff, Advanced Computing Methods for Engineered Sciences

865.576.3535 | [email protected]

Groups

Advanced Computing Methods for Physical Sciences - digital charts and graphs

Computational Systems Engineering and Cybernetics

Advanced Computing Methods for Physical Sciences - digital charts and graphs

Multiphysics Modeling and Flows

Autonomous and Complex Systems

Advanced Computing Methods for Physical Sciences - US weather map

Computational Urban Sciences

Scalable Engineering Applications

Computational Coupled Physics