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Zhao, Q., Avdeev, M., Chen, L. and Shi, S. (2021) Machine Learning Prediction of Activation Energy in Cubic Li-Argyrodites with Hierarchically Encoding Crystal Structure-Based (HECS) Descriptors. Science Bulletin.
https://doi.org/10.1016/j.scib.2021.04.029

has been cited by the following article:

• TITLE: Empirical Neutron Cross Section Formulae for (n, p) and (n, d) Reactions of He-3 Target

  AUTHORS: Amir M. Alramady

  KEYWORDS: Empirical Cross Section Formula, (n, p) Reaction, (n, p) Reaction, and Goodness-of-Fit

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.9 No.7, July 5, 2021

  ABSTRACT: In this work, new cross section formulae for (n, p) and (n, d) reactions of He-3 have been investigated as a function of incident neutron energy. The new Empirical formulae were produced by using the least squares method to the experimental cross sections data, which were taken from Experimental Nuclear Reaction Data EXFOR Database Version of 2021. Several functions were examined to choose the best one that fits the data. Statistical hypothesis testing was used to insure how well the suggested equations fit the set of data. Two statistical indicators were used for each case for goodness-of-fit. Very high compatibility was found between the empirical values and the experimental data for both reactions.