Predicting anion diffusion in bentonite using hybrid machine learning model and correlation of physical quantities
Published: 24 June 2024| Version 1 | DOI: 10.17632/47y7vb8c2p.1
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Description
The detailed statistics of the datasets from the Japan Atomic Energy Agency’s Diffusion Database System (JAEA-DDB) and 12 reported literatures, as well as the raw data for the figures in the manuscript.
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Institutions
Huzhou University
Categories
Machine Learning, Diffusion, Radionuclide