Completed
Intro
Class Central Classrooms beta
YouTube playlists curated by Class Central.
Classroom Contents
Machine Learning for Computational Fluid Dynamics
Automatically move to the next video in the Classroom when playback concludes
- 1 Intro
- 2 ML FOR COMPUTATIONAL FLUID DYNAMICS
- 3 Learning data-driven discretizations for partial differential equations
- 4 ENHANCEMENT OF SHOCK CAPTURING SCHEMES VIA MACHINE LEARNING
- 5 FINITENET: CONVOLUTIONAL LSTM FOR PDES
- 6 INCOMPRESSIBILITY & POISSON'S EQUATION
- 7 REYNOLDS AVERAGED NAVIER STOKES (RANS)
- 8 RANS CLOSURE MODELS
- 9 LARGE EDDY SIMULATION (LES)
- 10 COORDINATES AND DYNAMICS
- 11 SVD/PCA/POD
- 12 DEEP AUTOENCODER
- 13 CLUSTER REDUCED ORDER MODELING (CROM)
- 14 SPARSE TURBULENCE MODELS
