NSR Query Results
Output year order : Descending NSR database version of May 10, 2024. Search: Author = J.Y.Fang Found 4 matches. 2024ZH06 Nucl.Phys. A1043, 122820 (2024) X.Y.Zhang, W.F.Li, J.Y.Fang, Z.M.Niu Nuclear mass predictions with the naive Bayesian model averaging method NUCLEAR STRUCTURE Z=10-110; analyzed available data; deduced atomic masses using a naive Bayesian model averaging (NBMA) method.
doi: 10.1016/j.nuclphysa.2024.122820
2022FA08 Phys.Rev. C 106, 054318 (2022) Gross theory of β decay by considering the spin-orbit splitting from relativistic Hartree-Bogoliubov theory RADIOACTIVITY Z=20-82, N=35-128(β-); 130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173Sn, 68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100Ni, 71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105Zn, 113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147Ag(β-); calculated T1/2. Gross theory with including the spin-orbit splitting from relativistic Hartree-Bogoliubov theory. Comparison with microscopic SHFB+FAM, RHB+QRPA, and FRDM12+QRPA models. Comparison to experimental data. NUCLEAR STRUCTURE 90Zr, 208Pb, 130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173Sn, 68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100Ni; calculated central energies of the Gamow-Teller and the Fermi transitions, spin-orbit splitting. Comparison to experimental data.
doi: 10.1103/PhysRevC.106.054318
2021SH22 Chin.Phys.C 45, 044103 (2021) Exploring the uncertainties in theoretical predictions of nuclear β-decay half-lives NUCLEAR STRUCTURE N=50, 82, 126; calculated β-decay T1/2 and uncertainties.
doi: 10.1088/1674-1137/abdf42
2019NI11 Phys.Rev. C 100, 054311 (2019) Comparative study of radial basis function and Bayesian neural network approaches in nuclear mass predictions ATOMIC MASSES Z=8-110, N=8-160; analyzed nuclear masses and S(n) for 1800 nuclei, and investigated predictive power of radial basis function (RBF), radial basis function with odd-even effect (RBFoe), and Bayesian neural network (BNN) approaches; deduced rms deviations from the evaluated experimental masses in AME2016.
doi: 10.1103/PhysRevC.100.054311
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