Author

Niu, Zhong-Ming

INSPIRE profile1056270 ORCID0000-0002-4068-8247

4 papers·2,168 citations in this corpus

	Paper	Category
Jun 30, 2026#102606.30326	Construction of Nuclear Covariant Energy Density Functional from A Physics-Guaranteed Neural Network Approach W. F. Li · Z. M. Niu · H. Z. Liang · Y. F. Niu · B. H. Sun	nucl-th	PLB	0
Mar 2, 2021#32103.00379	The description of giant dipole resonance key parameters with multitask neural networks J. H. Bai (1)🇨🇳 · Z. M. Niu (2 and 3)🇨🇳 · B. Y. Sun (1)🇨🇳 · Y. F. Niu (1) ((1) School of Nuclear Science and Technology, Lanzhou University, Lanzhou, China, (2) School of Physics and Materials Science, Anhui University, Hefei, China, (3) Institute of Physical Science and Information Technology, Anhui University, Hefei, China)🇨🇳	nucl-th	PLB	28
Jan 16, 2018#21801.04411	Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects Z. M. Niu · H. Z. Liang	nucl-th	PLB	216
Oct 3, 2012#3*1210.0680	$β$ -decay half-lives of neutron-rich nuclei and matter flow in the $r$ -process Z. M. Niu · Y. F. Niu · H. Z. Liang · W. H. Long · T. Nikšić · D. Vretenar · J. Meng	nucl-th	PLB	156

Construction of Nuclear Covariant Energy Density Functional from A Physics-Guaranteed Neural Network Approach
W. F. Li · Z. M. Niu · H. Z. Liang · Y. F. Niu · B. H. Sun
Jun 30, 2026#10nucl-thPLB0 citations
The description of giant dipole resonance key parameters with multitask neural networks
J. H. Bai (1)🇨🇳 · Z. M. Niu (2 and 3)🇨🇳 · B. Y. Sun (1)🇨🇳 · Y. F. Niu (1) ((1) School of Nuclear Science and Technology, Lanzhou University, Lanzhou, China, (2) School of Physics and Materials Science, Anhui University, Hefei, China, (3) Institute of Physical Science and Information Technology, Anhui University, Hefei, China)🇨🇳
Mar 2, 2021#3nucl-thPLB28 citations
Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects
Z. M. Niu · H. Z. Liang
Jan 16, 2018#2nucl-thPLB216 citations
$β$ -decay half-lives of neutron-rich nuclei and matter flow in the $r$ -process
Z. M. Niu · Y. F. Niu · H. Z. Liang · W. H. Long · T. Nikšić · D. Vretenar · J. Meng
Oct 3, 2012#3*nucl-thPLB156 citations

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Niu, Zhong-Ming

Construction of Nuclear Covariant Energy Density Functional from A Physics-Guaranteed Neural Network Approach

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

Nuclear mass predictions based on Bayesian neural network approach with pairing and shell effects

β-decay half-lives of neutron-rich nuclei and matter flow in the r-process

$β$ -decay half-lives of neutron-rich nuclei and matter flow in the $r$ -process