The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Data Description:
gamma_5666_half.npy: 5,666 heat sink design fields in [0,1] of shape (5666, 1, 256, 256). Please note these are the left sides of each design only, because there is symmetry about the vertical axis. Recommended loading technique in Python and NumPy:X = np.load(args.dataset_path).reshape(-1, 1, 256, 256).astype(np.float32). This can easily be converted to a Tensor for training a machine learning model in PyTorch as well.inp_paras_5666.npy: The corresponding 5,666 input parameter vectors, which are 3 scalars per design in the following order: (0) Inlet velocity in the range [-0.095, -0.025], (1) Maximum fluid power dissipation in the range [50J1, 75J1] where J1 = 1.58e-7, and (2) Volume Fraction in the range [0.25, 0.7].dissP_5666.npy: The corresponding measured fluid power dissipation for each sample as a factor of J1.meanT_5666.npy: The corresponding mean temperature across the domain in degrees C.
- Downloads last month
- 28