10:05
Advanced CFD & FEM (Lecture 14: Error estimation)
16:25
Advanced CFD & FEM (Lecture 13: Linear and nonlinear solvers)
14:27
Advanced CFD & FEM (Lecture 12: Boundary conditions and best practices)
13:14
Advanced CFD & FEM (Lecture 11: Fractional steps approaches for Navier-Stokes)
16:58
Advanced CFD & FEM (Lecture 10: Coupled u-p approach for Navier-Stokes)
11:16
Advanced CFD & FEM (Lecture 9: Navier-Stokes, Pressure Poisson, and Vorticity equations)
18:56
Advanced CFD & FEM (Lecture 8: Stokes equation)
14:17
Advanced CFD & FEM (Lecture 7: Unsteady advection-diffusion equation)
28:50
Advanced CFD & FEM (Lecture 6: SUPG stabilization for the advection-diffusion equation)
11:50
Advanced CFD & FEM (Lecture 5: 3D advection-diffusion)
27:10
Title: Advanced CFD & FEM (Lecture 4: 1D advection-diffusion)
18:03
Advanced CFD & FEM (Lecture 3: FEM discretization)
18:46
Advanced CFD & FEM (Lecture 2: Weak forms in FEM)
19:02
Advanced CFD & FEM (Lecture 1: Intro to course + Mathematical preliminaries)
20:00
Neural networks that think!: Extrapolating and interpreting in scientific deep learning
09:22
ParaView's calculator for data post-processing
31:31
Introduction to ParaView and its various useful filters for data visualization/processing.
07:37
Processing particle data with VTK (for Lagrangian particle tracking)
15:52
Wall shear stress divergence with VTK (and note on WSS topology).
09:59
Interpolate unstructured mesh data with VTK
05:51
Vector data (gradient and curl) with VTK
14:00
Intro to Python VTK coding
06:47
PyTorch to VTK (ParaView)
02:54
Multi-fidelity and multi-physics modeling with PINN in PyTorch
12:13
Inverse modeling with PINN in PyTorch
06:27
Physics-informed neural networks (PINN) with PyTorch
12:30
Neural networks (mapping between 2D field variables, image to image) with PyTorch
16:18
OASIS: A robust CFD package in FEniCS
07:06
Residence-time calculation in FEniCS
05:08
Biotransport (advection-diffusion-reaction) in FEniCS
12:06
3D advection-diffusion in complex geometries with FEniCS
05:18
Importing 3D mesh into FeniCS (XML to h5)
09:21
Importing 3D mesh into FeniCS (VTK to XML)
08:55
2D chaotic transport in FEniCS
10:28
CFD in FEniCS (Unsteady Navier-Stokes with IPCS)
10:41
CFD in FEniCS (Steady Navier-Stokes)
09:37
Automated parametric FEM data generation with FEniCS
07:38
Basic introduction to FEniCS (FEM modeling in Python)
20:50
Advanced fluid flow vector field visualization in ParaView
16:00
Near-wall Blood Flow Modeling with Physics-Informed Neural Network (PINN).
18:21
Data-driven blood flow modeling with sparse representation (APS Division of Fluid Dynamics 2020)
00:16
CFD simulation of sneezing using FEniCS