Zepeng Gao
YOU?
Author Swipe
View article: Concentrated valence nucleons transfer in heavy-ion collisions: Implications for the discovery of stable superheavy elements
Concentrated valence nucleons transfer in heavy-ion collisions: Implications for the discovery of stable superheavy elements Open
The multinucleon transfer process is regarded as a promising pathway for producing the stable superheavy elements. However, the underlying mechanism, especially the possible transfer channels for sailing to the ``island of stability'' are …
View article: Production of actinide isotopes near θ = 0∘ in multinucleon transfer reaction 238U + 248Cm
Production of actinide isotopes near θ = 0∘ in multinucleon transfer reaction 238U + 248Cm Open
The multinucleon transfer reaction 238U + 248Cm is studied at incident energies Ec.m. = 898 and 800 MeV using the Isospin-dependent Quantum Molecular Dynamics model. In this work, we investigate the angular distribution of products and the…
View article: Bayesian uncertainty quantification for synthesizing superheavy elements
Bayesian uncertainty quantification for synthesizing superheavy elements Open
View article: New insight into the N/Z and mass equilibration in heavy-ion collisions
New insight into the N/Z and mass equilibration in heavy-ion collisions Open
The dynamics of N/Z and mass equilibration are investigated in the reactions 112,124Sn + 239Pu by employing the isospin-dependent quantum molecular dynamics model. It is found that N/Z and mass equilibration take place at different collisi…
View article: Quantifying angular distributions in multinucleon transfer reactions with a semi-classical method
Quantifying angular distributions in multinucleon transfer reactions with a semi-classical method Open
The multinucleon transfer (MNT) process in low-energy heavy ion collisions can be utilized to produce unknown nuclei far beyond the stability line. However, the reaction products exhibit broad angular and energy distributions, which could …
View article: Bayesian uncertainty quantification for synthesizing superheavy elements
Bayesian uncertainty quantification for synthesizing superheavy elements Open
To improve the theoretical prediction power for synthesizing superheavy elements beyond Og, a Bayesian uncertainty quantification method is employed to evaluate the uncertainty of the calculated evaporation residue cross sections (ERCS) fo…
View article: Shell effects on the drift and fluctuation in multinucleon transfer reactions
Shell effects on the drift and fluctuation in multinucleon transfer reactions Open
This study employs the dinuclear system model (DNS-sysu) to investigate drift and fluctuation mechanisms in 136Xe + 209Bi collisions above the Coulomb barrier. The DNS-sysu model demonstrated its effectiveness in providing reasonable descr…
View article: Role of the isospin diffusion on cluster transfer in $^{12,14}$C + $^{209}$Bi reactions
Role of the isospin diffusion on cluster transfer in $^{12,14}$C + $^{209}$Bi reactions Open
Heavy-ion collisions at near-barrier energies provide a crucial pathway for investigating nucleon correlations and clustering structures. Recent experimental results showed that the valence neutrons in light projectiles obviously enhance t…
View article: Importance of physical information on the prediction of heavy-ion fusion cross section with machine learning
Importance of physical information on the prediction of heavy-ion fusion cross section with machine learning Open
In this work, the Light Gradient Boosting Machine (LightGBM), which is a modern decision tree based machine-learning algorithm, is used to study the fusion cross section (CS) of heavy-ion reaction. Several basic quantities (e.g., mass numb…
View article: A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation
A Study of Unsupervised Evaluation Metrics for Practical and Automatic Domain Adaptation Open
Unsupervised domain adaptation (UDA) methods facilitate the transfer of models to target domains without labels. However, these methods necessitate a labeled target validation set for hyper-parameter tuning and model selection. In this pap…
View article: Constraining the Woods-Saxon potential in fusion reactions based on the neural network
Constraining the Woods-Saxon potential in fusion reactions based on the neural network Open
The accurate determination of the nuclear interaction potential is essential for predicting the fusion cross sections and understanding the reaction mechanism, which plays an important role in the synthesis of superheavy elements. In this …
View article: Optimal detection angles for producing <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mi>N</mml:mi><mml:mo>=</mml:mo><mml:mn>126</mml:mn></mml:mrow></mml:math> neutron-rich isotones in multinucleon transfer reactions
Optimal detection angles for producing neutron-rich isotones in multinucleon transfer reactions Open
The challenge of isotopic identification over a wide angular distribution has limited the measurement of neutron-rich nuclei produced via the multinucleon transfer (MNT) process. To investigate the optimal detection angles for the N=126 is…
View article: The optimal detection angles for producing N=126 neutron-rich isotones in the multinucleon transfer reactions
The optimal detection angles for producing N=126 neutron-rich isotones in the multinucleon transfer reactions Open
The challenge of isotopic identification over a wide angular distribution has limited the measurement of neutron-rich nuclei produced via the multinucleon transfer (MNT) process. To investigate the optimal detection angles for the N=126 is…
View article: Elliptic flow in heavy-ion collisions at intermediate energy: The role of impact parameter, mean field potential, and collision term
Elliptic flow in heavy-ion collisions at intermediate energy: The role of impact parameter, mean field potential, and collision term Open
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, by reversely tracing nucleons that are finally emitted at mid-rapidity (|y0| < 0.1) in the entire reaction process, the time evolution of elliptic flow (v2) of these tr…
View article: Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning Open
Inferences of the nuclear symmetry energy from heavy-ion collisions are currently based on the comparison of measured observables and transport model simulations. Only the expectation values of observables over all considered events are us…
View article: Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term
Elliptic flow in heavy-ion collisions at intermediate energy: the role of impact parameter, mean field potential, and collision term Open
Within the ultrarelativistic quantum molecular dynamics (UrQMD) model, by reverse tracing nucleons that are finally emitted at mid-rapidity (|$y_0$| < 0.1) in the entire reaction process, the time evolution of elliptic flow ($v_2$) of thes…
View article: Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning
Decoding the nuclear symmetry energy event-by-event in heavy-ion collisions with machine learning Open
Inferences of the nuclear symmetry energy from heavy-ion collisions are currently based on the comparison of measured observables and transport model simulations. Only the expectation values of observables over all considered events are us…
View article: Quantifying the Effect of Initial Fluctuations on Isospin-Sensitive Observables from Heavy-Ion Collisions at Intermediate Energies
Quantifying the Effect of Initial Fluctuations on Isospin-Sensitive Observables from Heavy-Ion Collisions at Intermediate Energies Open
Initial fluctuation is one of the ingredients that washes fingerprints of the nuclear symmetry energy on observables in heavy-ion collisions. By artificially using the same initial nuclei in all collision events, the effect of the initial …
View article: Correction to: Machine learning the nuclear mass
Correction to: Machine learning the nuclear mass Open
View article: Application of machine learning in the determination of impact parameter in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>132</mml:mn></mml:mmultiscripts><mml:mo>+</mml:mo><mml:mmultiscripts><mml:mi>Sn</mml:mi><mml:mprescripts/><mml:none/><mml:mn>124</mml:mn></mml:mmultiscripts></mml:mrow></mml:math> system
Application of machine learning in the determination of impact parameter in the system Open
Background: $^{132}$Sn+$^{124}$Sn collisions at the beam energy of 270\nMeV$/$nucleon have been performed at the Radioactive Isotope Beam Factory\n(RIBF) in RIKEN to investigate the nuclear equation of state. Reconstructing\nimpact paramet…
View article: Application of machine learning in the determination of impact parameter in the $^{132}$Sn+$^{124}$Sn system
Application of machine learning in the determination of impact parameter in the $^{132}$Sn+$^{124}$Sn system Open
Background: $^{132}$Sn+$^{124}$Sn collisions at the beam energy of 270 MeV$/$nucleon have been performed at the Radioactive Isotope Beam Factory (RIBF) in RIKEN to investigate the nuclear equation of state. Reconstructing impact parameter …
View article: Machine learning the nuclear mass
Machine learning the nuclear mass Open
Background: The masses of about 2500 nuclei have been measured experimentally, however more than 7000 isotopes are predicted to exist in the nuclear landscape from H (Z=1) to Og (Z=118) based on various theoretical calculations. Exploring …
View article: Enhanced Fireworks Algorithm-Auto Disturbance Rejection Control Algorithm for Robot Fish Path Tracking
Enhanced Fireworks Algorithm-Auto Disturbance Rejection Control Algorithm for Robot Fish Path Tracking Open
The robot fish is affected by many unknown internal and external interference factors when it performs path tracking in unknown waters. It was proposed that a path tracking method based on the EFWA-ADRC (enhanced fireworks algorithmauto di…