4 papers
NNStar: An end-to-end AI agent for nuclear matter and neutron star physics
Yao Ma, Yong-Liang Ma, Jia-Ying Xiong
Constraining the equation of state of dense matter requires confronting effective models with massive data that spans many orders of magnitude in scale, from sub-saturation nuclear…
Neutron star structure and nuclear matter properties from a general Walecka-type model with Bayesian analysis
Yao Ma, Jia-Ying Xiong
We establish a Bayesian analysis framework with a general Walecka-type relativistic mean-field model to study dense nuclear matter under constraints from nuclear matter properties…
Hadronic description of nuclear matter and neutron star properties
Yao Ma, Yong-Liang Ma, Jia-Ying Xiong
The composition of the neutron star is one of the most fundamental and long-standing problems in nuclear- and astro-physics. The known properties of nuclear matter, together with t…
Insights into neutron star equation of state by machine learning
Ling-Jun Guo, Jia-Ying Xiong, Yao Ma +1
Due to its powerful capability and high efficiency in big data analysis, machine learning has been applied in various fields. We construct a neural network platform to constrain th…