Machine Learning in the Problem of No-Core Shell Model Result Extrapolations
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 the nucleon–nucleon interaction Daejeon16 for the ground state energies, as well as for the root-mean-square (rms) point-proton, point-neutron, and point-nucleon (matter) radii of the $${}^{6}$$ Li and $${}^{6}$$ He nuclei, are performed.
Authors
- A. I. Mazur (ORCID: https://orcid.org/0000-0001-9230-9256)
- A. M. Shirokov (ORCID: https://orcid.org/0000-0002-0331-6209)
- R. E. Sharypov (ORCID: https://orcid.org/0000-0002-6324-7217)
Institutions
- Lomonosov Moscow State University (RU)
- Pacific National University (RU)
Publication Details
- Journal
- Physics of Atomic Nuclei
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1134/s1063778824700868
- Citations
- 2
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.66