31 citations · 43 across the 5 of their papers we have counts for
6 papers · 1 filter
Neural-network excited states of nuclei and hypernuclei
Zi-Xiao Zhang, Yi-Long Yang, Xiao-Lu Qian +4
We present the first variational Monte Carlo study of nuclear and hypernuclear excited states within the neural-network quantum states (NQS) framework. We implement both the overla…
Machine learning the single- hypernuclei with neural-network quantum states
Zi-Xiao Zhang, Yi-Long Yang, Wan-Bing He +3
Single- hypernuclei are the most straightforward extension of atomic nuclei. A thorough description of baryonic system beyond first-generation quark sector is indispensable for…
Nuclear and neutron matter in the relativistic Brueckner-Hartree-Fock theory with next-to-leading order covariant chiral nuclear force
Wei-Jiang Zou, Yi-Long Yang, Jun-Xu Lu +3
The symmetric nuclear matter and pure neutron matter are investigated by the relativistic Brueckner-Hartree-Fock (RBHF) theory with the covariant chiral nuclear forces up to the ne…
Reconciling light nuclei and nuclear matter: relativistic calculations
Y. L. Yang, P. W. Zhao
It has been a long-standing challenge to accurately predict the properties of light nuclei and nuclear matter simultaneously in nuclear calculations. In this Letter, w…
Deep-neural-network approach to solving the ab initio nuclear structure problem
Yilong Yang, Pengwei Zhao
Predicting the structure of quantum many-body systems from the first principles of quantum mechanics is a common challenge in physics, chemistry, and material science. Deep machine…
The limits of the nuclear landscape explored by the relativistic continuum Hatree-Bogoliubov theory
X. W. Xia, Y. Lim, P. W. Zhao +8
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 relativistic continuum Hartree-Bo…