Prediction of the Adsorption Behaviors of Radionuclides onto Bentonites Using a Machine Learning Method

Prediction of the Adsorption Behaviors of Radionuclides onto Bentonites Using a Machine Learning Method

This study builds a model to predict distribution coefficients (K<sub>d</sub>) using the random forest (RF) method and a machine learning model based on the Japan Atomic Energy Agency Sorption Database (JAEA-SDB). A database of ten input variables, including the distribution coefficient,...

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Bibliographic Details
Main Authors: Do-Hyeon Kim, Jun-Yeop Lee
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Minerals
Subjects:
adsorption
bentonite
distribution coefficient
machine learning
random forest
Online Access:https://www.mdpi.com/2075-163X/12/10/1207

Internet

https://www.mdpi.com/2075-163X/12/10/1207

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