Browse our active and completed projects on Scientific Machine Learning for Fluid Mechanics.
Each project includes a brief overview, related publications, and the collaborators involved.
Joint inference of cardiac geometry and velocity fields from 4D flow MRI using a measurement model.
Differentiable pipeline for calibration, particle-density reconstruction, and Eulerian velocity estimation from multi-camera particle images.
Segmentation and velocity reconstruction from 2D phase-contrast MRI using a measurement-coupled model.
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