Fast and Accurate Prediction of Neutron Star Structure with Deep Neural Networks
Kaushikk V N, Bhaskar Biswas, Stephan Rosswog
astro-ph.HE, gr-qc, nucl-th
Submitted: 2026-08-07
Updated: 2026-08-11
Comments: 13 pages, 11 figures
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Accurate Determination of the Neutron Skin Thickness of $^{208}$Pb through Parity-Violation in Electron Scattering
- Precision Determination of the Neutral Weak Form Factor of $^{48}$Ca
- Determination of the Equation of State of Dense Matter
- Recent Progress and New Challenges in Isospin Physics with Heavy-Ion Reactions
- Dense Nuclear Matter Equation of State from Heavy-Ion Collisions
- Modern Theory of Nuclear Forces
- Chiral effective field theory and nuclear forces
- Three-body forces: From cold atoms to nuclei
- Three-Nucleon Forces: Implementation and Applications to Atomic Nuclei and Dense Matter
- Chiral Effective Field Theory and the High-Density Nuclear Equation of State
- The Ultimate Energy Density of Observable Cold Matter
- Gravitational waves from neutron star mergers and their relation to the nuclear equation of state
- The Science of the Einstein Telescope
- Binary neutron star mergers with SPHINCS_BSSN: temperature-dependent equations of state and damping of constraint violations
- Tidal Love numbers of neutron stars
- Constraining neutron star tidal Love numbers with gravitational wave detectors
- Relativistic tidal properties of neutron stars
- Shapiro delay measurement of a two solar mass neutron star
- Relativistic Shapiro delay measurements of an extremely massive millisecond pulsar
- Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-ray Data Set
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