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NSR database version of April 11, 2024.

Search: Author = Z.G.Ge

Found 11 matches.

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2024LI04      Phys.Rev. C 109, 014603 (2024)

L.-L.Liu, Y.-Y.Liu, X.-L.Huang, J.-M.Wang, Y.-J.Chen, N.-Ch.Shu, Zh.-G.Ge

Influence of the spin cut-off parameter on the isomeric cross-section ratio of the (n, 2n) reaction within the Huizenga-Vandenbosch method

doi: 10.1103/PhysRevC.109.014603
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2022LI16      Phys.Rev. C 105, 034614 (2022)

L.-L.Liu, X.-Z.Wu, Y.-J.Chen, C.-W.Shen, Z.-G.Ge, Z.-X.Li

Impact of nuclear dissipation on the fission dynamics within the Langevin approach

NUCLEAR REACTIONS 237,238,239,240,241,242,243,244Am, 235,236,237,238,239,240,241,242Pu, 233,234,235,236,237,238,239,240Np, 232,233,234,235,236,237,238,239U(n, F), E=14 MeV; calculated fission fragments mass distributions, total kinetic energy (TKE) distributions, influences of the strength of friction tensor on the fragments distributions. Studied systematic dependence of the averaged TKE on the Coulomb parameter. Three-dimensional Langevin approach. Comparison to the evaluated data from ENDF/B-VIII.0 and results calculated with GEF model.

doi: 10.1103/PhysRevC.105.034614
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2022LI65      Chin.Phys.C 46, 124101 (2022)

L.-L.Liu, X.-Z.Wu, Y.-J.Chen, C.-W.Shen, Z.-X.Li, Z.-G.Ge, N.-C.Shu

Influence of the neck parameter on the fission dynamics within the two-center shell model parametrization

NUCLEAR REACTIONS 235U(n, F), E=14 MeV; calculated the total kinetic energy (TKE) distributions.

doi: 10.1088/1674-1137/ac8867
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2022WA26      Phys.Rev. C 106, L021304 (2022)

Z.A.Wang, J.C.Pei, Y.J.Chen, C.Y.Qiao, F.R.Xu, Z.G.Ge, N.C.Shu

Bayesian approach to heterogeneous data fusion of imperfect fission yields for augmented evaluations

NUCLEAR REACTIONS 238U(n, F), E<20 MeV; analyzed experimental data; calculated cumulative fission yields of 99Mo, 135Xe, 140Ba, 147Nd fragments, independent fission yields. Bayesian neural networks (BNNs) algorithm for machine learning.

doi: 10.1103/PhysRevC.106.L021304
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2021LI21      Phys.Rev. C 103, 044601 (2021)

L.-L.Liu, Y.-J.Chen, X.-Z.Wu, Z.-X.Li, Z.-G.Ge, K.Pomorski

Analysis of nuclear fission properties with the Langevin approach in Fourier shape parametrization

NUCLEAR REACTIONS 235U(n, F), E=14 MeV; calculated deformation energy contour for 236U in (q2, q3) plane, total kinetic energy (TKE) as function of the heavy fission fragment, mass distribution of fission fragments, mass-energy correlation of the fission fragments, correlations between the distance of the mass centers of two fragments and the heavy fragment mass at the scission point, correlation between neck parameter and the elongation parameter at the scission point. 233,236,238U, 239Pu(n, F), E=14 MeV; calculated fragment mass distributions, total kinetic energy (TKE) and the probability distributions. Langevin approach for nuclear fission within the Fourier shape parametrization, with the potential energy from macroscopic-microscopic model based on Lublin-Strasbourg drop model and Yukawa-folded potential. Comparison with experimental data, and with evaluated data in ENDF/B-VIII.0.

doi: 10.1103/PhysRevC.103.044601
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2021QI04      Phys.Rev. C 103, 034621 (2021)

C.Y.Qiao, J.C.Pei, Z.A.Wang, Y.Qiang, Y.J.Chen, N.C.Shu, Z.G.Ge

Bayesian evaluation of charge yields of fission fragments of 239U

NUCLEAR REACTIONS 232,233Th, 239Pu(n, F), E=14 MeV; 239Pu, 244Cm(n, F), E=0.5 MeV; 255Fm(n, F), E=0.025 eV; analyzed one-layer and two-layer Bayesian neural network (BNN) learning results of charge yields taken from JENDL. 235U(n, F), E=0.025 eV and 0.5, 14 MeV; predicted BNN fission charge yields. 238U(n, F)239U*, E=0.5 MeV; calculated and evaluated BNN fission charge yields. Double-layered Bayesian neural network (BNN) to learn and predict charge yields of fission fragments; deduced better performance of double-layer network better than that of the single-layer network with same number of neurons. Comparison with experimental data.

doi: 10.1103/PhysRevC.103.034621
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2019LI16      Phys.Rev. C 99, 044614 (2019)

L.-L.Liu, X.-Z.Wu, Y.-J.Chen, C.-W.Shen, Z.-X.Li, Z.-G.Ge

Study of fission dynamics with a three-dimensional Langevin approach

NUCLEAR REACTIONS 233,238U, 239Pu(n, F), E=14 MeV; 235U(n, F), E=thermal, 14, 25, 35, 45, 55 MeV; calculated fragment mass distributions, total kinetic energy (TKE) of heavy mass fragments, fission time distribution, and elongation and averaged nuclear shape at scission for 235U+n at 14 MeV, potential energy surface for 236U. Three-dimensional Langevin model, with the potential energy surface calculated with the macroscopic-microscopic model based on two-center shell model. Comparison with experimental data, results of GEF code and the evaluated data in ENDF/B-VIII.0 library.

doi: 10.1103/PhysRevC.99.044614
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2019ZH39      Nucl.Phys. A990, 1 (2019)

Z.Zhang, R.R.Xu, Z.Y.Ma, Z.G.Ge, Y.Tian, D.Y.Pang, X.D.Sun, Y.L.Jin, X.Tao, Y.Zhang, J.M.Wang

Global α-nucleus optical model based on an Dirac Brueckner Hartree Fock approach

doi: 10.1016/j.nuclphysa.2019.06.013
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2011GE07      J.Korean Phys.Soc. 59, 1052s (2011)

Z.G.Ge, Z.X.Zhao, H.H.Xia, Y.X.Zhuang, T.J.Liu, J.S.Zhang, H.C.Wu

The Updated Version of Chinese Evaluated Nuclear Data Library (CENDL-3.1)

COMPILATION Z=1-98(n, X), E=1.E-5 eV-20 MeV; compiled, evaluated σ, dσ.

doi: 10.3938/jkps.59.1052
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2011ZH39      J.Korean Phys.Soc. 59, 1063s (2011)

Z.X.Zhao, Z.G.Ge

Progress of China Nuclear Data Evaluation

COMPILATION 90Zr(n, X), E=0.2-20 MeV; evaluated total σ. 238Pu(n, f); evaluated σ. 238U(n, n'), E not given; evaluated neutron TOF spectra. 16O(n, n), E=14.1 MeV; evaluated σ(E, θ). Compared to other evaluations and data.

doi: 10.3938/jkps.59.1063
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1995SU31      Chin.J.Nucl.Phys. 17, No 3, 271 (1995)

Z.-D.Su, Z.-G.Ge, L.-M.Zhang, L.-Z.Ma, Z.-J.Sun, C.-X.Wang, Z.-F.Huang, J.-F.Liu, Z.-Q.Yu, Y.-X.Zuo, G.-G.Ma

Chinese Evaluated Nuclear Parameter Library (CENPL) (I)


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