H
Haozhao Liang
Researcher at University of Tokyo
Publications - 122
Citations - 2765
Haozhao Liang is an academic researcher from University of Tokyo. The author has contributed to research in topics: Density functional theory & Covariant transformation. The author has an hindex of 27, co-authored 102 publications receiving 2149 citations. Previous affiliations of Haozhao Liang include University of Paris-Sud & Peking University.
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Hidden pseudospin and spin symmetries and their origins in atomic nuclei
TL;DR: Recently, the pseudospin symmetry (PSS) was recognized as a relativistic symmetry in atomic nuclei and many new concepts have been introduced as mentioned in this paper, including the spin symmetry (SS) for anti-nucleon.
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The limits of the nuclear landscape explored by the relativistic continuum Hartree–Bogoliubov theory
X.W. Xia,Yeunhwan Lim,Pengwei Zhao,Pengwei Zhao,Haozhao Liang,XiaoYing Qu,XiaoYing Qu,Ying Chen,Ying Chen,Hao Liu,Linfeng Zhang,Shudong Zhang,Y. Kim,Jie Meng,Jie Meng,Jie Meng +15 more
TL;DR: In this paper, the ground-state properties of nuclei with 8 ⩽ Z⩽ 120 from the proton drip line to the neutron drip line have been investigated using the spherical relativistic continuum Hartree-Bogoliubov (RCHB) theory with the relatival density functional PC-PK1.
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Spin-isospin resonances: a self-consistent covariant description.
TL;DR: The excitation properties and the nonenergy weighted sum rules of two important charge-exchange excitation modes, the Gamow-Teller resonance (GTR) and the spin-dipole resonance (SDR), are well reproduced in the doubly magic nuclei 48Ca, 90Zr and 208Pb without readjustment of the particle-hole residual interaction.
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Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
Zhong-Ming Niu,Haozhao Liang +1 more
TL;DR: In this article, the authors employed a Bayesian neural network (BNN) approach to improve the nuclear mass predictions of various models and found that the noise error in the likelihood function plays an important role in the predictive performance of the BNN approach.
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Novel structure for magnetic rotation bands in 60Ni
Pengwei Zhao,Shunan Zhang,J. Peng,Haozhao Liang,Peter Ring,Peter Ring,Jie Meng,Jie Meng,Jie Meng +8 more
TL;DR: In this paper, a selfconsistent tilted axis cranking relativistic mean field theory based on a point-coupling interaction has been applied to investigate systematically the newly observed shears bands in 60Ni.