Marc Henry de Frahan is helping to improve next-generation wind and combustion processes. As part of the Exascale Computing Project, Marc develops high-fidelity turbulence models to enhance simulation accuracy and efficient numerical algorithms for future high-performance computing hardware architectures. In addition to traditional physics-based modeling, he is integrating deep neural networks into modeling and reinforcement learning into advanced control strategies. Beyond his research, Marc is passionate about making science accessible to a broad audience and wrote a children's book about cavitation science. He delights in seeing people's eyes light up when they understand a concept, sparking the desire to learn more. 

High-performance computing, GPU computing

High order numerical methods for computational fluid dynamics

Fluid mechanics (turbulence, multiphase flows, combustion)

Deep learning for computational fluid mechanics

Computational combustion