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This dataset contains the two dimensional fluid simulation data for AMR-Net. The inputs of simulations are signed distance functions (SDFs) and the outputs are 2D flow fields u and v. In each simulation, 1-5 objects are placed randomly at the center of the computational domain. The objects are randomly chosen from circles, ellipses, rectangles and rounded rectangles. Each hdf5 file includes the pair of input and output data. The details of the dataset is described in the Github page.
Convolutional Neural Network, Computational Fluid Dynamics, Surrogate Model, Adaptive Mesh Refinement
Convolutional Neural Network, Computational Fluid Dynamics, Surrogate Model, Adaptive Mesh Refinement
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