Predictions of nuclear charge radii based on the convolutional neural network

Local variations of charge radii for nuclei with even Z from 84 to 120

(2023) Rong An et al.   COMMUNICATIONS IN THEORETICAL PHYSICS

High-energy nuclear physics meets machine learning

(2023) Wan-Bing He et al.   Nuclear Science and Techniques

Nuclear charge radii in Bayesian neural networks revisited

(2023) Xiao-Xu Dong et al.   PHYSICS LETTERS B

Hypernuclei as a laboratory to test hyperon–nucleon interactions

(2023) Yu-Gang Ma   Nuclear Science and Techniques

Machine learning in nuclear physics at low and intermediate energies

(2023) Wanbing He et al.   Science China-Physics Mechanics & Astronomy

Impact of Nuclear Deformation and Pairing on the Charge Radii of Palladium Isotopes

(2022) S. Geldhof et al.   PHYSICAL REVIEW LETTERS

Prediction of nuclear charge density distribution with feedback neural network

(2022) Tian-Shuai Shang et al.   Nuclear Science and Techniques

Improvement of the Bayesian neural network to study the photoneutron yield cross sections

(2022) Yong-Yi Li et al.   Nuclear Science and Techniques

Compilation of recent nuclear ground state charge radius measurements and tests for models

(2021) Tao Li et al.   ATOMIC DATA AND NUCLEAR DATA TABLES

Machine learning the nuclear mass

(2021) Ze-Peng Gao et al.   Nuclear Science and Techniques

A machine learning study to identify spinodal clumping in high energy nuclear collisions

(2019) Jan Steinheimer et al.   JOURNAL OF HIGH ENERGY PHYSICS

High precision nuclear mass predictions towards a hundred kilo-electron-volt accuracy

(2018) Zhongming Niu et al.   Science Bulletin

Characterization of the shape-staggering effect in mercury nuclei

(2018) B. A. Marsh et al.   Nature Physics

Nuclear charge radii: density functional theory meets Bayesian neural networks

(2016) R Utama et al.   JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS

Quantum Phase Transition in the Shape of Zr isotopes

(2016) Tomoaki Togashi et al.   PHYSICAL REVIEW LETTERS

An effective formula for nuclear charge radii

(2015) Zongqiang Sheng et al.   EUROPEAN PHYSICAL JOURNAL A

New charge radius relations for atomic nuclei

(2014) B. H. Sun et al.   PHYSICAL REVIEW C

Mass predictions of the relativistic mean-field model with the radial basis function approach

(2014) J. S. Zheng et al.   PHYSICAL REVIEW C

An artificial neural network application on nuclear charge radii

(2013) S Akkoyun et al.   JOURNAL OF PHYSICS G-NUCLEAR AND PARTICLE PHYSICS

Radial basis function approach in nuclear mass predictions

(2013) Z. M. Niu et al.   PHYSICAL REVIEW C

Shell and isospin effects in nuclear charge radii

(2013) Ning Wang et al.   PHYSICAL REVIEW C

Table of experimental nuclear ground state charge radii: An update

(2012) I. Angeli et al.   ATOMIC DATA AND NUCLEAR DATA TABLES

Nuclear mass predictions with a radial basis function approach

(2011) Ning Wang et al.   PHYSICAL REVIEW C

Garvey-Kelson relations for nuclear charge radii

(2010) J. Piekarewicz et al.   EUROPEAN PHYSICAL JOURNAL A

New parametrization for the nuclear covariant energy density functional with a point-coupling interaction

(2010) P. W. Zhao et al.   PHYSICAL REVIEW C

Further explorations of Skyrme-Hartree-Fock-Bogoliubov mass formulas. XII. Stiffness and stability of neutron-star matter

(2010) S. Goriely et al.   PHYSICAL REVIEW C

ImprovedZ1/3Law of Nuclear Charge Radius

(2009) Lei Yi-An et al.   COMMUNICATIONS IN THEORETICAL PHYSICS

On the liquid drop model mass formulae and charge radii

(2009) G. Royer et al.   EUROPEAN PHYSICAL JOURNAL A

First Gogny-Hartree-Fock-Bogoliubov Nuclear Mass Model

(2009) S. Goriely et al.   PHYSICAL REVIEW LETTERS

Charge radii in macroscopic-microscopic mass models of reflection asymmetry

(2008) H. Iimura et al.   PHYSICAL REVIEW C

α-Particle Condensation inO16Studied with a Full Four-Body Orthogonality Condition Model Calculation

(2008) Y. Funaki et al.   PHYSICAL REVIEW LETTERS