Several presentations at APS DFD 2019, Seattle.
J Wang’s group will give three presentations at 72nd APS-DFD in Seattle,
- J.-X. Wang will present “Surrogate Modeling for Fluid Flows Using Physics-Constrained, Label-Free Deep Learning “,
- Han Gao will present “A Multi-fidelity Ensemble Kalman Method for Inverse Problems in Cardiovascular Flows“,
- Luning Sun will present “Super-resolution and Denoising of Flow MRI Data using Physics-Constrained Deep Learning “
See you in Seattle!