High-performance computing, and data-driven methods for complex flow and energy systems
The Advanced Computational Flow and Energy Lab at North Carolina A&T State University develops computational methods for studying complex fluid flows, turbulence, energy transport, and environmental flow systems.
About the Lab
The Advanced Computational Flow and Energy Lab’s research lies at the intersection of fluid mechanics, scientific computing, and data-driven modeling. We develop and apply computational tools to improve the understanding and prediction of complex flow systems in engineering, energy, and environmental applications.
Our research focuses on high-fidelity simulation, reduced-order modeling, machine learning for computational fluid dynamics, wind energy, atmospheric and environmental flows, and fire-atmosphere interactions.
Affiliation
Department of Mechanical Engineering
North Carolina A&T State University