Speaker
Shoto/証斗 Watanabe/渡辺
(Hokkaido University/北海道大学)
Description
In recent years, there have been many attempts to generate nuclear data using machine learning. Following this trend, we are trying to generate nuclear data by combining machine learning and nuclear reaction models. In this presentation, we will present the award-winning paper " Nuclear data generation by machine learning (I) application to angular distributions for nucleon-nucleus scattering" [1] and our recent research results.
References
[1] S. Watanabe, F. Minato, M. Kimura, N. Iwamoto et al., “Nuclear data generation by machine learning (I) application to angular distributions for nucleon-nucleus scattering”, J. Nucl. Sci. Technol. 59(11), (2022), pp. 1399-1406.
Primary author
Shoto/証斗 Watanabe/渡辺
(Hokkaido University/北海道大学)
Co-authors
Futoshi/太志 Minato/湊
(Kyushu University/九州大学)
Masaaki/真明 Kimura/木村
(RIKEN/理研)
Nobuyuki/信之 Iwamoto/岩本
(JAEA/JAEA)
Sota/聡太 Yoshida/吉田
(Utsunomiya University/宇都宮大学)