MACHINE LEARNING IN THE PROBLEM OF NO CORE SHELL MODEL RESULT EXTRAPOLATIONS
- Авторлар: Sharypov R.E.1, Mazur A.I.1, Shirokov A.M.2
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Мекемелер:
- Pacific National University
- Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics
- Шығарылым: Том 88, № 1 (2025)
- Беттер: 151–160
- Бөлім: PROCEEDINGS OF 74TH INTERNATIONAL CONFERENCE ON NUCLEAR PHYSICS “NUCLEUS-2024: FUNDAMENTAL PROBLEMS AND APPLICATIONS”, 1–5 JULY 2024, DUBNA, RUSSIA. Nuclei. Theory
- URL: https://bakhtiniada.ru/0044-0027/article/view/303738
- DOI: https://doi.org/10.31857/S0044002725010187
- EDN: https://elibrary.ru/GQLEMT
- ID: 303738
Дәйексөз келтіру
Аннотация
A method for extrapolating the results of variational calculations to the case of the infinite basis using an ensemble of artificial neural networks is proposed. Extrapolations of the no-core shell model results obtained with nucleon-nucleon interaction Daejeon16 for the ground state energies, as well as for the rootmean-square point-proton, point-neutron and point-nucleon (matter) radii of the 6Li and 6He nuclei, are performed.
Негізгі сөздер
Авторлар туралы
R. Sharypov
Pacific National University
Email: amazur.pnu.khb@mail.ru
Khabarovsk, Russia
A. Mazur
Pacific National University
Email: amazur.pnu.khb@mail.ru
Khabarovsk, Russia
A. Shirokov
Lomonosov Moscow State University, Skobeltsyn Institute of Nuclear Physics
Хат алмасуға жауапты Автор.
Email: amazur.pnu.khb@mail.ru
Moscow, Russia
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