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Welcome to the Online Course: Computational Fluid Dynamics (CFD) with high-performance Python programming.

Step 0: Introduction of Computational Fluid Dynamics
Step 1: 1-D Linear Convection
Step 2: Nonlinear Convection and Upwind Scheme
Step 3: Convergence and the CFL Condition
Step 4: Diffusion Equation in 1-D
Step 5: Burgers’ Equation in 1-D
Step 6: Array Operations with NumPy
Step 7: 2D Linear Convection
Step 8: 2-D Convection
Step 9: 2D Diffusion
Step 10: Burgers’ Equation in 2D
Step 11: 2D Laplace Equation
Step 12: 2D Poisson Equation
Step 13.1: Cavity Flow with Navier–Stokes
Step 13.2: Cavity Flow with Upwind Sheme
Step 13.3: Cavity flow with Chorin’s Projection
Step 14: Channel Flow with Navier–Stokes
Step 15: JAX for high-performance GPU computing
Step 16: 2D Diffusion Equation using Numpy and JAX
Step 17 (Speical Topic 1): Implicit Solver
Step 18 (Speical Topic 2): Phase-field Method
Step 19 (Speical Topic 3): Optimization of Dynamical Systems
Step 20 (Speical Topic 4): Lattice Boltzmann Method

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By Zhengtao Gan

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