NNStar: An end-to-end AI agent for nuclear matter and neutron star physics
Yao Ma, Yong-Liang Ma, Jia-Ying Xiong
nucl-th, astro-ph.HE, physics.comp-ph
Submitted: 2026-07-15
Comments: 14 pages; comments are welcome
Code: https://github.com/AaronMahn/NM-rmf-benchmark-scheme
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- The phase diagram of nuclear and quark matter at high baryon density
- Chiral symmetry and effective field theories for hadronic, nuclear and stellar matter
- From hadrons to quarks in neutron stars: a review
- Towards the Hadron-Quark Continuity Via a Topology Change in Compact Stars
- Neutron Stars and the Nuclear Equation of State
- Topology change, emergent symmetries and compact star matter
- Constraints on Phase Transitions in Neutron Star Matter
- An updated mass-radius analysis of the 2017-2018 NICER data set of PSR J0030+0451
- The Radius of the High-mass Pulsar PSR J0740+6620 with 3.6 yr of NICER Data
- A NICER View of the Nearest and Brightest Millisecond Pulsar: PSR J0437$\unicode{x2013}$4715
- A NICER view of the 1.4 solar-mass edge-on pulsar PSR J0614-3329
- Relativistic Mean-Field Hadronic Models under Nuclear Matter Constraints
- Symmetry Energy II: Isobaric Analog States
- Constraining the nuclear matter equation of state around twice saturation density
- Constraints on the Skyrme Equations of State from Properties of Doubly Magic Nuclei
- Implications of PREX-II on the equation of state of neutron-rich matter
- Machine learning and the physical sciences
- Exploring QCD matter in extreme conditions with Machine Learning
- Mapping neutron star data to the equation of state using the deep neural network
- Nuclear liquid-gas phase transition with machine learning
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- An Effective Upper Bound on the Pressure-to-Energy Density Ratio in Neutron Stars