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Data for Paper Entitled "Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow"

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DataCite Commons2020-09-06 更新2024-07-28 收录
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https://figshare.com/articles/dataset/Data_for_Paper_Entitled_Weak_Form_Theory-guided_Neural_Network_TgNN-wf_for_Deep_Learning_of_Subsurface_Single_and_Two-phase_Flow_/12923627/1
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Supporting data for the paper entitled "Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow". The data contains all the numerical cases reported in the paper, and for each case, the prediction by neural networks and reference values are reported respectively. Note that for each case the predicted values are evaluated on the same grid as the reference values and the reported values are reshaped into a 1D array for easy printing.
提供机构:
figshare
创建时间:
2020-09-06
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