8 papers
Emergence of the halo in Li from full nuclear many-body dynamics
Yilong Yang, Pengwei Zhao
The two-neutron halo nucleus Li is a paradigmatic quantum many-body system whose large spatial extent and weak binding have long challenged a microscopic description from fi…
Efficient emulation of nuclear ground states with neural-network variational Monte Carlo and eigenvector continuation
Mao Li, Yilong Yang, Pengwei Zhao
An efficient emulator for \emph{ab initio} calculations of nuclear ground-state properties is developed by integrating the neural-network variational Monte Carlo framework, Feynman…
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…
Chiral symmetry and peripheral neutron- scattering
Yilong Yang, Evgeny Epelbaum, Jie Meng +2
We propose and demonstrate that peripheral neutron- scattering at low energies can serve as a sensitive and clean probe of the long-range three-nucleon forces. To this aim, we…
Zemach radii and nuclear structure effects in hyperfine splitting of Lithium
Yilong Yang, Evgeny Epelbaum, Chen Ji +1
Nuclear structure effects are essential for describing hyperfine splittings from high-precision atomic spectroscopy measurements. These effects are often parametrized by the effect…
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…