Presentation Information

[2F10]Development of fission nuclear data using ML(1) Outline of the study

*Chikako Ishizuka1, Maomi Ueno2, Osamu Iwamoto3, Satoshi Takeda4 (1. Tokyo Tech, 2. UEC, 3. JAEA, 4. Osaka Univ.)

Keywords:

Nuclear fission,Nuclear data,Machine learning,Reactor Physics,Neutron Cross Section

Fission nuclear data is essential information for the realization of safe nuclear power systems, but especially in terms of fission yield, the energies for which nuclear data is prepared are extremely limited. In this study, we are attempting to improve the accuracy of fission nuclear data for isotopes and energy regions with scarce experimental values using machine learning. Additionally, we have verified and evaluated the impact of the newly constructed fission nuclear data on reactor physics. This presentation will outline these series of efforts.

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