Predicting radionuclide behavior in deep geological repositories using graph convolutional long short-term memory
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Deep geological repositories (DGRs) are designed for the permanent disposal of spent nuclear fuel, necessitating precise radionuclide transport predictions. Owing to the impracticality of large-scale physical experiments, computational simulations are a key al... ...
