1.3k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shanghai Jiao Tong UniversityCN68 papers
- Chinese Academy of SciencesCN52 papers
- Texas A&M UniversityUS52 papers
- Technische Universität DarmstadtDE43 papers
- GSI Helmholtz Centre for Heavy Ion ResearchDE37 papers
- Institute of Modern PhysicsCN31 papers
- Shanghai Institute of Applied PhysicsCN30 papers
- Michigan State UniversityUS29 papers
- Institute of Theoretical PhysicsCN25 papers
- Xi'an Jiaotong UniversityCN22 papers
- Goethe University FrankfurtDE21 papers
- National Superconducting Cyclotron LaboratoryUS21 papers
249 papers · 1 filter
An Effective Upper Bound on the Pressure-to-Energy Density Ratio in Neutron Stars
Bao-Jun Cai, Bao-An Li, Yu-Gang Ma
The equation-of-state (EOS) parameter , defined as the ratio of pressure to energy density, encapsulates the fundamental response of matter under extreme com…
Neutron Star Equation of State with Nucleon Short-Range Correlations: A Concise Review and Open Issues
Bao-Jun Cai, Bao-An Li, Yu-Gang Ma
Nucleon short-range correlations (SRCs) and the associated high-momentum tail (HMT) in its momentum distribution represent a universal feature of strongly interacting Fermi…
Beyond Scaling: Microscopic Origins and Multimessengers of High-Density Nuclear Symmetry Energy
Bao-An Li
Nuclear symmetry energy encoding the cost to make nuclear matter more neutron rich has been the most uncertain component of the EOS of dense neutron-rich nucl…
Imprints of high-density nuclear symmetry energy on the crustal fraction of neutron star moment of inertia
Nai-Bo Zhang, Bao-An Li
The density dependence of nuclear symmetry energy remains the most uncertain aspect of the equation of state (EOS) of supradense neutron-rich nucleonic matter. Imp…
Neural Network Emulation of Flow in Heavy-Ion Collisions at Intermediate Energies
Nicholas Cox, Xavier Grundler, Bao-An Li
Applications of new techniques in machine learning are speeding up progress in research in various fields. In this work, we construct and evaluate a deep neural network (DNN) to be…
Impact of the nuclear equation of state on the formation of twin stars
Nai-Bo Zhang, Bao-An Li
Twin stars-two stable neutron stars (NSs) with the same mass but different radii have long been proposed to appear as a consequence of a possible first-order phase transition in NS…
Strong Gravity Extruding Peaks in Speed of Sound Profiles of Massive Neutron Stars
Bao-Jun Cai, Bao-An Li
The speed of sound squared (SSS) in massive neutron stars (NSs) characterizes not only the stiffness of supradense neutron-rich matter within but also equivalently properties…
Comparing pion production in transport simulations of heavy-ion collisions at MeV under controlled conditions
Jun Xu, Hermann Wolter, Maria Colonna +20
Within the TMEP, we present a detailed study of the performance of different transport models in Sn+Sn collisions at MeV, and put particular emphasis on the production of pi…
Central Speed of Sound, Trace Anomaly and Observables of Neutron Stars from Perturbative Analyses of Scaled TOV Equations
Bao-Jun Cai, Bao-An Li, Zhen Zhang
The central speed of sound (SS) measures the stiffness of the Equation of State (EOS) of superdense neutron star (NS) matter. Its variations with density and radial coordinate in N…
Empirical radius formulas for canonical neutron stars from bidirectionally selecting EOS features in extended Bayesian analyses of observational data
Jake Richter, Bao-An Li
Given the significant advancement in Bayesian inference of nuclear Equation of State (EOS) from gravitational wave and X-ray observations of neutron stars (NSs), especially since G…
Core States of Neutron Stars from Anatomizing their Scaled Structure Equations
Bao-Jun Cai, Bao-An Li, Zhen Zhang
Given an Equation of State (EOS) for neutron star (NS) matter, there is a unique mass-radius sequence characterized by a maximum mass at radius . We…
New 26P(p,γ)27S thermonuclear reaction rate and its astrophysical implication in rp-process
S. Q. Hou, J. B. Liu, T. C. L. Trueman +4
Accurate nuclear reaction rates for 26P(p,γ)27S are pivotal for a comprehensive understanding of rp-process nucleosynthesis path in the region of proton-rich sulfur and phosphorus…
Properties of First-Order Hadron-Quark Phase Transition from Inverting Neutron Star Observables
Nai-Bo Zhang, Bao-An Li
By inverting the observational data of several neutron star observables in the three dimensional parameter space of the constant speed of sound (CSS) model while fixing all hadroni…
Bayesian inference of in-medium baryon-baryon scattering cross sections from HADES proton flow data
Bao-An Li, Wen-Jie Xie
Within a Bayesian statistical framework using a Gaussian Process emulator for an isospin-dependent Boltzmann-Uehling-Uhlenbeck (IBUU) transport model simulator of heavy-ion reactio…
Dense Nuclear Matter Equation of State from Heavy-Ion Collisions
Agnieszka Sorensen, Kshitij Agarwal, Kyle W. Brown +133
The nuclear equation of state (EOS) is at the center of numerous theoretical and experimental efforts in nuclear physics. With advances in microscopic theories for nuclear interact…
Probing the size and binding energy of the hypertriton in heavy ion collisions
C. A. Bertulani
The hypertriton is predicted to have a small binding energy (a weighted average of about 150 keV), consistent with a large matter radius (~ 10 fm), larger than the historical 11Li…
Big Bang nucleosynthesis as a probe of new physics
Carlos A. Bertulani, Francis W. Hall, Benjamin I. Santoyo
The Big Bang Nucleosynthesis (BBN) model is a cornerstone for the understanding of the evolution of the early universe, making seminal predictions that are in outstanding agreement…
Nuclear fragmentation reactions as a probe of neutron skins in nuclei
E. A. Teixeira, T. Aumann, C. A. Bertulani +1
We investigate the contributions of various reaction channels to the interaction, reaction, charge-changing and neutron-changing cross sections. The goal is to investigate the rela…
Impact of Symmetry Energy on Sound Speed and Spinodal Decomposition in Dense Neutron-Rich Matter
Nai-Bo Zhang, Bao-An Li
Using a meta model for nuclear Equation of State (EOS) with its parameters constrained by astrophysical observations and terrestrial nuclear experiments, we examine effects of nucl…
Probing high-density nuclear symmetry energy with ratio in heavy-ion collisions at GeV
Gao-Chan Yong, Bao-An Li, Zhi-Gang Xiao +1
Recent beam energy scan (BES) experiments at RHIC by the STAR Collaboration (PLB {\bf 827},137003 (2022) and PRL {\bf 128}, 202303 (2022)) found that hadronic interactions dominate…
Equation of State of Neutron-Rich Matter in -Dimensions
Bao-Jun Cai, Bao-An Li
Nuclear systems under constraints, with high degrees of symmetries and/or collectivities may be considered as moving effectively in spaces with reduced spatial dimensions. We first…
Principal Component Analysis of Azimuthal Flow in Intermediate-Energy Heavy-Ion Reactions
Bao-An Li, Jake Richter
Principal Component Analysis (PCA) via Singular Value Decomposition (SVD) of large datasets is an adaptive exploratory method to uncover natural patterns underlying the data. Sever…
Investigating Effects of Relativistic Kinematics, Dimensionality, Interactions, and Short-Range Correlations on the Ratio of Quartic over Quadratic Nuclear Symmetry Energies
Bao-Jun Cai, Bao-An Li
While ample evidence for the so-called empirical parabolic law of the Equation of State (EOS) of isospin asymmetric nuclear matter (ANM) has been obtained in many studies within bo…
Nuclear Spectroscopy with Heavy Ion Nucleon Knockout and (p,2p) Reactions
Jianguo Li, Carlos A. Bertulani, Furong Xu
Knockout reactions with heavy ion targets in inverse kinematics, as well as "quasi-free" (p,2p) and (p,pn) reactions are useful tools for nuclear spectroscopy. We report calculatio…