Nuclear mass based on the multi-task learning neural network method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://link.springer.com/content/pdf/10.1007/s41365-022-01031-z.pdf
Reference35 articles.
1. T.-L. Zhao, X.-J. Bao, H.-F. Zhang, Improved macroscopic microscopic mass formula. Chin. Phys. C 45(7), 074108 (2021). https://doi.org/10.1088/1674-1137/abfaf2
2. J.M. Dong, H.F. Zhang, L.J. Wang et al., Density dependence of the symmetry energy probed by $$\beta ^-$$ decay energies of odd-A nuclei. Phys. Rev. C 88, 014302 (2013). https://doi.org/10.1103/PhysRevC.88.014302
3. R. Kanungo, A new view of nuclear shells. Phys. Scr. T152, 014002 (2013). https://doi.org/10.1088/0031-8949/2013/t152/014002
4. H. Schatz, K.E. Rehm, X-ray binaries. Nucl. Phys. A 777, 601–622 (2006). https://doi.org/10.1016/j.nuclphysa.2005.05.200 (Special Issue on Nuclear Astrophysics)
5. Z.M. Niu, H.Z. Liang, Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects. Phys. Lett. B 778, 48–53 (2018). https://doi.org/10.1016/j.physletb.2018.01.002
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