MultiphysX Flow Lab

At MultiphysX Flow Lab, our research is at the forefront of fluid mechanics, scientific computing, and machine learning. Our team is dedicated to developing computational methods to provide a predictive understanding of complex flow problems, including multi-physics couplings and multiphase dynamics across diverse scales and Reynolds numbers. We aim to create physically consistent models, robust numerical schemes, and high-performance computing (HPC) software to enable high-fidelity simulations of flows involving complex multi-physics effects. Our work also extends to employing machine learning (ML) to construct surrogate models that have applications in engineering analysis, control, design, and optimization. We are driven by our interest in a wide range of applications, including energy conversion/storage, propulsion, additive manufacturing processes, biophysical systems, and environmental flows.