Application of Scientific Machine Learning Techniques for Fluid Dynamics Analysis
Application of machine learning techniques, informed by governing physical laws, for fluid dynamics analysis.
Scientific Computing
Modal Analysis of Fluid Dynamics
Application of the Dynamic Mode Decomposition (DMD) technique to identify and understand coherent structures (or modes) that dominate the spatial and temporal behavior of a fluid flow.
Numerical Methods for Simulating Transport Phenomena
Application of the numerical method of lines (NUMOL) to solve the classical problem of one-dimensional heat transfer in a cylinder.