Neutron-Induced Nuclear Cross-Sections Study for Plasma Facing Materials via Machine Learning: Molybdenum Isotopes

Neutron-Induced Nuclear Cross-Sections Study for Plasma Facing Materials via Machine Learning: Molybdenum Isotopes

In this work, we apply a machine learning algorithm to the regression analysis of the nuclear cross-section of neutron-induced nuclear reactions of molybdenum isotopes, <sup>92</sup>Mo at incident neutron energy around <inline-formula><math xmlns="http://www.w3.org/1998/Mat...

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Bibliographic Details
Main Authors: Mohamad Amin Bin Hamid, Hoe Guan Beh, Yusuff Afeez Oluwatobi, Xiao Yan Chew, Saba Ayub
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
(n,2n) nuclear reaction
machine learning
supervised learning
Online Access:https://www.mdpi.com/2076-3417/11/16/7359

Internet

https://www.mdpi.com/2076-3417/11/16/7359

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