Jun Su

Prof. Dr. Jun Su


Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 September 2021 in Physical Review C
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Journal Article
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XWXiaohang Wang
Xiaohang Wang
LZLong Zhu
Long Zhu
JSJun Su
Jun Su
Background: A Bayesian neural network (BNN) approach has been applied to evaluate and predict the nuclear data. The BNN is a numerical algorithm. When one incorporates this algorithm in nuclear physics analyses, how to maintain the scientific rigor is a key problem and presents new challenges.

1 January 1996 in IEEE Transactions on Magnetics
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Journal Article
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Romolo MarcelliRomolo Marcelli
Romolo Marcelli
MRM. Rossi
M. Rossi
PGP. De Gasperis
P. De Gasperis
JSJun Su
Jun Su

1 April 2019 in Physics Letters B
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Journal Article
Open access
LZLong Zhu
Long Zhu
CLCheng Li
Cheng Li
JSJun Su
Jun Su
CGChen-Chen Guo
Chen-Chen Guo
WHWei Hua
Wei Hua

2 May 2014 in IEEE Photonics Technology Letters
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Journal Article
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ZTZhengrong Tong
Zhengrong Tong
JSJun Su
Jun Su
YCYe Cao
Ye Cao
WZWeihua Zhang
Weihua Zhang
A novel double-parameters sensor based on composite interference structure has been designed and implemented in this letter. It can be regarded as a cascade of the traditional single mode-multimode-single mode structure and multimode-single mode-multimode structure. The output signal is a series of interference superposition; external parameters can be measured by monitoring the spectral characteristics of interference dips. The interesting properties of the sensor include good operation linearity. In addition, simultaneous measurement of temperature and refractive index have been achieved. The sensitivities of temperature and refractive index can reach up to 0.1385 nm/°C and 100.97 nm/RIU, respectively.

18 July 2018 in Physical Review C
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Journal Article
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JSJun Su
Jun Su
WTW. Trautmann
W. Trautmann
LZLong Zhu
Long Zhu
WXWen-Jie Xie
Wen-Jie Xie
FZFeng-Shou Zhang
Feng-Shou Zhang
Background: Projectile fragmentation is a well-established technique to produce rare isotope beams, but its underlying physical processes are not fully known.

29 September 2016 in Physical Review C
Verified
Journal Article
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JSJun Su
Jun Su
LZLong Zhu
Long Zhu
CHChing-Yuan Huang
Ching-Yuan Huang
WXWen-Jie Xie
Wen-Jie Xie
FZFeng-Shou Zhang
Feng-Shou Zhang
The isospin- and momentum-dependent interaction using the isospin-dependent quantum molecular dynamics model is improved. The momentum dependence of the interaction is fitted to the optical potentials extracted with proton-nucleus scattering data, while the isospin dependence is adjusted based on the current constraints on the symmetry energy and its density slope at normal density. The resulting parameters of the interaction are used to calculate the effective masses characterized by the nonlocality of the nuclear potential in the spatial coordinates (the so-called effective k masses). It is found that this parametrization can reproduce the effective k masses calculated by the Dirac-Brueckner-Hartree-Fock model. The current constraints on the total symmetry energy can accommodate a wide-range adjustment of the local symmetry energy and effective k-mass splitting. Four groups of parameters, which provide different density dependences of symmetry energy and effective k-mass splitting, are applied to investigate the isospin diffusion and neutron to proton double ratios in collisions involving Sn124 and Sn112 nuclei at 50 and 120 MeV/nucleon. Calculations confirm the sensitivity of symmetry energy to the isospin diffusion, but indicate the synchronous effects of symmetry energy and effective k-mass splitting on the double ratios.