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Memory-efficient emulation of physical tabular data using quadtree decomposition dataset

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Zenodo2021-05-05 更新2026-04-07 收录
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The datasets used for training and testing the quadtree emulator in the Memory-efficient emulation of physical tabular data using quadtree decomposition paper. The description of the datasets are as follows, training_data_den0.00625_temp0.00625.hdf5 : Training data for the quadtree emulator testing_data_den0.004166666666666667_temp0.004166666666666667.hdf5 : Testing data for quadtree emulator. testing_data_timmes_den0.004166666666666667_temp0.004166666666666667.hdf5 : Values obtained using Timmes's implementation at the testing points. The values in each dataset were computed from outputs from the EOS code hosted at https://github.com/jschwab/python-helmholtz.

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2021-05-05
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