您当前的位置:
首页 >
文章列表页 >
Machine learning-based prediction of cation distribution coefficients in bentonite
NUCLEAR CHEMISTRY, RADIOCHEMISTRY, RADIOPHARMACEUTICALS AND NUCLEAR MEDICINE | 更新时间:2025-06-16
    • Machine learning-based prediction of cation distribution coefficients in bentonite

    • “In the field of safety evaluation of radioactive waste disposal facilities, experts use machine learning models to predict the distribution coefficient of radioactive nuclides on bentonite, providing a new path for safety evaluation.”
    • NUCLEAR TECHNIQUES   Vol. 48, Issue 6, Article number: 060302(2025)
    • DOI:10.11889/j.0253-3219.2025.hjs.48.240431    

      CLC: TL942
    • Received:29 October 2024,

      Revised:17 March 2025,

      Published:15 June 2025

    移动端阅览

  • YANG Xin,ZHANG Kunming,CHEN Tao.Machine learning-based prediction of cation distribution coefficients in bentonite[J].NUCLEAR TECHNIQUES,2025,48(06):060302. DOI: 10.11889/j.0253-3219.2025.hjs.48.240431. CSTR: 32193.14.hjs.CN31-1342/TL.2025.48.240431.

  •  
  •  

0

Views

6

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Adsorption mechanism of U(Ⅵ) by bentonite
Machine learning methods for studying heavy-ion fusion cross sections
The development and application of deep learning in high-energy nuclear physics
Continuous Bayesian probability estimator in predictions of nuclear masses

Related Author

DU Zuoyong
WANG Yanhui
LI Dongrui
TUO Xianguo
LI Zhilong
WANG Yongjia
LI Qingfeng
ZHANG Jingzong

Related Institution

Laboratory of National Defense for Radioactive Waste and Environmental Security, Southwest University of Science and Technology
Sichuan University of Science & Engineering
China Institute of Atomic Energy
School of Science, Huzhou University
Department of Physics, Sichuan University
0