activity
20222026
most citedDeep-neural-network approach to solving the ab initio nuclear structure problem

31 citations · 59 across the 11 of their papers we have counts for

collaborators
Showing nucl-thShow all

11 papers · 1 filter

nucl-th2026

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…

nucl-th2026

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…

nucl-th2026

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…

nucl-th2025

Zemach radii and nuclear structure effects in hyperfine splitting of lithium isotopes

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…

nucl-th2025★ 1 cited

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…

nucl-th2025

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…

nucl-th2025

Nuclear matter in relativistic Brueckner-Hartree-Fock theory with local and nonlocal covariant chiral interactions at leading order

Wei-Jiang Zou, Yi-Long Yang, Shihang Shen +1

The simultaneous description for nuclear matter and finite nuclei has been a long-standing challenge in nuclear ab initio theory. With the success for nuclear matter, the relativis…

nucl-th2025★ 5 cited

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 p…

nucl-th2024★ 11 cited

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…

nucl-th2023★ 11 cited

Relativistic model-free prediction for neutrinoless double beta decay at leading order

Y. L. Yang, P. W. Zhao

Starting from a manifestly Lorentz-invariant chiral Lagrangian, we present a model-free prediction for the transition amplitude of the process induced by…

nucl-th2022★ 31 cited

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…