Physics-Constrained Convolutional Autoencoders for 2D Cylinder Flow at Re=100
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资源简介：
This dataset and code repository contains the implementation of convolutional autoencoders (CAE) and physics-constrained autoencoders (PO-CAE) trained on 2D incompressible cylinder flow simulations at Reynolds number 100. The models incorporate soft constraints on kinetic energy, vorticity, enstrophy, and temporal energy increments. The repository includes training scripts, hyperparameter sweeps, evaluation tools, Pareto analysis, and latent space diagnostics.
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Zenodo创建时间：
2026-02-17
