Y. Niu

activity

20182021

most citedThe description of giant dipole resonance key parameters with multitask neural networks

35 citations · 35 across the 1 of their papers we have counts for

collaborators

3 papers

nucl-th2021★ 35 cited

The description of giant dipole resonance key parameters with multitask neural networks

J. H. Bai, Z. M. Niu, B. Y. Sun +1

Giant dipole resonance (GDR) is one of the fundamental collective excitation modes in nucleus. Continuous efforts have been made to the evaluation of GDR key parameters in differen…

nucl-th2019

Pseudo-spin symmetry restoration and the in-medium balance between nuclear attractive and repulsive interactions

Jing Geng, Jia Jie Li, Wen Hui Long +2

The mechanism that restores the pseudo-spin symmetry (PSS) are investigated under the relativistic Hartree-Fock (RHF) approach, by focusing on the in-medium balance between nuclear…

nucl-th2018

Predictions of nuclear $β$ -decay half-lives with machine learning and their impacts on $r$ process

Z. M. Niu, H. Z. Liang, B. H. Sun +2

Nuclear $β$ decay is a key process to understand the origin of heavy elements in the universe, while the accuracy is far from satisfactory for the predictions of $β$ -decay half-liv…

The description of giant dipole resonance key parameters with multitask neural networks

Pseudo-spin symmetry restoration and the in-medium balance between nuclear attractive and repulsive interactions

Predictions of nuclear β-decay half-lives with machine learning and their impacts on r process

Predictions of nuclear $β$ -decay half-lives with machine learning and their impacts on $r$ process