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Cited article:

Study of (n,2n) reaction cross section of fission product based on neural network and decision tree models

Xiaodong Sun, Zihao Wei, Duan Wang, Ruirui Xu, Yuan Tian, Xi Tao, Yingxun Zhang, Yue Zhang, Zhi Zhang, Zhigang Ge

EPJ Web of Conf., 294 (2024) 04008

Published online: 2024-04-17

DOI: https://doi.org/10.1051/epjconf/202429404008

This article has been cited by the following article(s):

Prediction of Exotic (n,2n) Cross Sections Using a Regression Tree Machine Learning Algorithm

Rohan Teelock-Gaya, Valeria Raffuzzi, Eugene Shwageraus and Lee Morgan
Nuclear Science and Engineering 1 (2025)
https://doi.org/10.1080/00295639.2025.2456414

Prediction of (n, 2n) reaction cross-sections of long-lived fission products based on tensor model

Jia-Li Huang, Hui Wang, Ying-Ge Huang, Er-Xi Xiao, Yu-Jie Feng, Xin Lei, Fu-Chang Gu, Long Zhu, Yong-Jing Chen and Jun Su
Nuclear Science and Techniques 35 (10) (2024)
https://doi.org/10.1007/s41365-024-01556-5