Nov 15 – 17, 2023
東海村産業・情報プラザ「アイヴィル(iVil)」
Asia/Tokyo timezone

Nuclear data generation by combining machine learning and nuclear reaction models/機械学習と核反応模型を組み合わせた核データ生成

Not scheduled
30m
東海村産業・情報プラザ「アイヴィル(iVil)」

東海村産業・情報プラザ「アイヴィル(iVil)」

東海村舟石川東三丁目1番1号

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)

Presentation materials