AME - Machine Learning for Turbulence and Combustion

We focus on developing high-performance simulation and machine learning tools to more accurately predict turbulent, reacting, and high-speed/nonequilibrium flows. Students can focus on either or both of (a) flow physics, control, and modeling or (b) algorithm development and deployment. We utilize and advance a suite of in-house, high-performance, Python-native computational fluid dynamics (CFD) tools for solver-embedded optimization tasks at the cutting edge of scientific machine learning.