NSR Query Results
Output year order : Descending NSR database version of April 27, 2024. Search: Author = J.Pu Found 15 matches. 2023MA48 Phys.Rev. C 108, 044606 (2023) C.-W.Ma, X.-X.Chen, X.-B.Wei, D.Peng, H.-L.Wei, Y.-T.Wang, J.Pu, K.-X.Cheng, Y.-F.Guo, C.-Y.Qiao Systematic behavior of fragments in Bayesian neural network models for projectile fragmentation reactions
doi: 10.1103/PhysRevC.108.044606
2022CH16 Chin.Phys.C 46, 024105 (2022) K.-X.Cheng, C.Xu, C.n-W.Ma, J.Pu, Y.-T.Wang Pauli blocking potential applied to heavy-ion fusion reactions NUCLEAR REACTIONS 208Pb(16O, X), 58Ni(58Ni, X), E not given; calculated fusion hindrance phenomena at deep sub-barrier energies using the Pauli blocking potential between two colliding nuclei in the density overlapping region is applied to describe the heavy nuclei fusion process.
doi: 10.1088/1674-1137/ac3749
2022MA39 Chin.Phys.C 46, 074104 (2022) C.-W.Ma, X.-B.Wei, X.-X.Chen, D.Peng, Y.-T.Wang, J.Pu, K.-X.Cheng, Y.-F.Guo, H.-L.Wei Precise machine learning models for fragment production in projectile fragmentation reactions using Bayesian neural networks
doi: 10.1088/1674-1137/ac5efb
2022PE09 J.Phys.(London) G49, 085102 (2022) D.Peng, H.-L.Wei, X.-X.Chen, X.-B.Wei, Y.-T.Wang, J.Pu, K.-X.Cheng, C.-W.Ma Bayesian evaluation of residual production cross sections in proton-induced nuclear spallation reactions NUCLEAR REACTIONS 1H(36Ar, X), (40Ar, X), (40Ca, X), (56Fe, X), (93Nb, X), (93Zr, X), (107Pd, X), (90Sr, X), (136Xe, X), (137Cs, X), (138Ba, X), (197Au, X), E<2.6 GeV/nucleon; analyzed available data; deduced accurate and complete energy-dependent residual σ using a simplified EPAX formula (sEPAX), the Bayesian neural network (BNN) technique.
doi: 10.1088/1361-6471/ac7069
2021CH03 Phys.Rev. C 103, 014613 (2021) K.Cheng, C.Xu, C.Ma, J.Pu, Y.Wang Density variation effects in α + 208Pb and 16O + 208Pb fusion reactions NUCLEAR REACTIONS 208Pb(α, X), E=15.6, 23.5 MeV; calculated width parameter and corresponding central density of α particles versus distance between the center of mass of two nuclei, potentials of M3Y + Pauli and M3Y + Pauli + DVE. 208Pb(16O, X), E=75.65, 109.52 and 65.85 MeV; calculated density distributions of 208Pb, 16O, and α cluster at E(16O)=75.65 MeV, total potentials M3Y + Pauli with and without DVE for E(16O)=109.52 and 65.85 MeV; deduced influence of density variation of α particles and α-cluster nucleus 16O on cross sections and potentials. 208Pb(16O, X), E=64-88 MeV; calculated fusion σ(E) using coupled-channels (CC) with M3Y + Pauli and M3Y + Pauli + DVE potentials. Comparison with experimental data.
doi: 10.1103/PhysRevC.103.014613
2020MA61 Chin.Phys.C 44, 124107 (2020) C.-W.Ma, D.Peng, H.-L.Wei, Y.-T.Wang, J.Pu A Bayesian-neural-network prediction for fragment production in proton induced spallation reaction NUCLEAR REACTIONS 36,40Ar, 40Ca, 56Fe, 136Xe, 197Au, 208Pb, 238U(p, X), E<1000 MeV/nucleon; analyzed available data; deduced fragment production in spallation reactions yields key infrastructure data, σ, parameters using the empirical SPACS parameterizations, a Bayesian-neural-network (BNN) approach.
doi: 10.1088/1674-1137/abb657
2018PU02 Phys.Rev. C 98, 064905 (2018) Extracting strange-quark freeze-out information in Pb + Pb collisions at √ sNN = 2.76 TeV from φ and Ω production
doi: 10.1103/PhysRevC.98.064905
2017PU04 Phys.Rev. C 96, 054311 (2017) Nuclear matter fourth-order symmetry energy in nonrelativistic mean-field models
doi: 10.1103/PhysRevC.96.054311
2013MA07 Chin.Phys.C 37, 024102 (2013) C.-W.Ma, H.-L.Song, J.Pu, T.-L.Zhang, S.Zhang, S.-S.Wang Symmetry energy from neutron-rich fragments in heavy-ion collisions, and its dependence on incident energy, and impact parameters NUCLEAR REACTIONS 12C(60Ni, X), E=80, 140 MeV/nucleon; calculated fragments yield, σ, isobaric yield ratios. Comparison with available data.
doi: 10.1088/1674-1137/37/2/024102
2013MA56 Phys.Rev. C 88, 014609 (2013) C.-W.Ma, X.-L.Zhao, J.Pu, S.-S.Wang, C.-Y.Qiao, X.Feng, R.Wada, Y.-G.Ma Temperature determined by isobaric yield ratios in a grand-canonical ensemble theory
doi: 10.1103/PhysRevC.88.014609
2013PU01 Phys.Rev. C 87, 047603 (2013) J.Pu, J.H.Chen, S.Kumar, Y.G.Ma, C.W.Ma, G.Q.Zhang Influence of the symmetry energy on isospin ratios from projectile and target fragmentations in intermediate-energy heavy-ion collisions NUCLEAR REACTIONS 58,64Ni(40Ca, X), (48Ca, X), E=50, 600 MeV/nucleon; calculated single and double ratios of neutrons to protons as a function of kinetic energy, sensitivity factor of the symmetry energy. Isospin-dependent quantum molecular dynamics (IQMD) model.
doi: 10.1103/PhysRevC.87.047603
2012MA17 Chin.Phys.Lett. 29, 062101 (2012) C.-W.Ma, J.Pu, S.-S.Wang, H.-L.Wei The Symmetry Energy from the Neutron-Rich Nucleus Produced in the Intermediate-Energy 40, 48Ca and 58, 64Ni Projectile Fragmentation NUCLEAR REACTIONS 9Be(40Ca, X), (48Ca, X), (58Ni, X), (64Ni, X), E=140 MeV/nucleon; calculated isobaric yield ratios, production of neutron-rich isobars. Modified Fisher model.
doi: 10.1088/0256-307X/29/6/062101
2012MA28 Eur.Phys.J. A 48, 78 (2012) C.-W.Ma, J.Pu, H.-L.Wei, S.-S.Wang, H.-Li.Song, S.Zhang, L.Chen Symmetry energy extracted from fragments in relativistic energy heavy-ion collisions induced by 124, 136Xe NUCLEAR REACTIONS Pb(124Xe, X), E=1 GeV/nucleon;H, Pb(136Xe, X), E=1 GeV/nucleon; calculated, analyzed fragment yields; deduced symmetry energy coefficient vs mass for different isospin.
doi: 10.1140/epja/i2012-12078-5
2012MA38 Chin.Phys.Lett. 29, 092101 (2012) C.-W.Ma, J.-B.Yang, M.Yu, J.Pu, S.-S.Wang, H.-L.Wei Surface and Volume Symmetry Energy Coefficients of a Neutron-Rich Nucleus
doi: 10.1088/0256-307X/29/9/092101
2012MA52 Phys.Rev. C 86, 054611 (2012) C.W.Ma, J.Pu, Y.G.Ma, R.Wada, S.S.Wang Temperature determined by isobaric yield ratios in heavy-ion collisions NUCLEAR REACTIONS 9Be(64Ni, X), E=140 MeV/nucleon; 208Pb(136Xe, X), E=1 GeV/nucleon; analyzed σ, temperature (T) of fragments, and ratio of difference between the chemical potential of neutron and proton and temperature in heavy ion collisions using isobaric yield ratio (IYR) method. Modified statistical abrasion-ablation (SAA) model.
doi: 10.1103/PhysRevC.86.054611
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