NUCLEAR TECHNIQUES, Volume. 48, Issue 5, 050003(2025)
Nucleon separation energy predictions with the Kernel ridge regression
Fig. 1. The number of nuclei with the corresponding separation energy deviations from the data locating in various slots
Fig. 2. The deviations of one-neutron separation energy Sn in the WS4, KRR, and KRRoe predictions, as well as the experimental data, from the WS4 results for Ruthenium Ru (a) and Plumbum Pb (b) isotopes
Fig. 3. Comparison of the extrapolation power of the KRR and the KRRoe approach for eight test sets with different extrapolation distances (a) Two-neutron (S2n) separation energies, (b) Two-proton (S2p) separation energies (color online)
Fig. 4. Comparison of the extrapolation power of the KRR and the KRRoe approach for eight test sets with different extrapolation distances (a) One-neutron (Sn) separation energies, (b) One-proton (Sp) separation energies (color online)
|
Get Citation
Copy Citation Text
Yueying GUO, Xiangqi TANG, Huixin LIU, Xinhui WU. Nucleon separation energy predictions with the Kernel ridge regression[J]. NUCLEAR TECHNIQUES, 2025, 48(5): 050003
Category: Special Topics on Applications of Machine Learning in Nuclear Physics and Nuclear Data
Received: Mar. 6, 2025
Accepted: --
Published Online: Jun. 26, 2025
The Author Email: Xinhui WU (吴鑫辉)