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P

P. Ren

Researcher at Chinese Academy of Sciences

Publications -  23
Citations -  225

P. Ren is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Neutron & Nuclear data. The author has an hindex of 10, co-authored 22 publications receiving 186 citations. Previous affiliations of P. Ren include Sichuan University.

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Evidence for Z=6 `magic number' in neutron-rich carbon isotopes

TL;DR: The authors analyse the proton radii, binding energies and electric quadrupole transition rates of neutron-rich carbon isotopes at proton number six and use nuclear structure models to support the magic number Z’= 6, which can be explained by the state-of-the-art nuclear theory with chiral nucleon–nucleon and three-n nucleon forces, which are rooted in the quantum chromodynamics.
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Measurement of leakage neutron spectra for Tungsten with D-T neutrons and validation of evaluated nuclear data

TL;DR: In this article, the accuracy of evaluated nuclear data for Tungsten has been examined by comparing measured leakage neutron spectra with calculated ones, and it is found that the calculations with ADS-2.0 and ENDF/B-VII.1 give good agreement with the experiments in the whole energy regions at 60°, while a large discrepancy is observed at 120° in the elastic scattering peak, caused by a slight difference in the oscillation pattern of the elastic angular distribution at angles larger than 20°.
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Evidence for prevalent Z = 6 magic number in neutron-rich carbon isotopes

TL;DR: In this paper, the authors present experimental evidence for the smallest SO-originated magic number (subshell closure) at the proton number six in 13-20C obtained from systematic analysis of point-proton distribution radii, electromagnetic transition rates and atomic masses of light nuclei.
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Fast neutron scattering on Gallium target at 14.8 MeV

TL;DR: In this paper, a benchmarking of evaluated nuclear data libraries was performed for ∼14.8 MeV neutrons on Gallium targets, and the measured spectra were rather well reproduced by MCNP-4C simulations with the CENDL3.1, ENDF/B-VII, and JENDL-4.0 evaluated data libraries.