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High-resolution 2D lid-driven cavity CFD solver & 30 open benchmark datasets (Re = 100 to 100,000, grids up to 1025x1025). Features O(N^2 log N) DST-I Poisson solver, vectorized ADI, pure central differencing, Batchelor core verification, and research preprint submitted to Computers & Fluids.
A simple investigation into various CFD methods (like SF-Vorticity approach, primitive variable FDM, FVM etc.) by using the Lid-Driven Cavity problem as an example
MATLAB code for incompressible laminar flow simulation in a square lid-driven cavity using stream function-vorticity formulation. Related article DOI: https://doi.org/10.35819/remat2024v10i1id6757.
Controlled formulation study of ψ – p vs ψ – ω Physics-Informed Neural Networks (PINNs) for high-Re ( Re = 1000) incompressible Navier-Stokes. Investigates operator conditioning, false convergence, and exact hard BCs.