In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …

Neutron-star cores contain matter at the highest densities in our Universe. This highly
compressed matter may undergo a phase transition where nuclear matter melts into …

Accurately understanding the equation of state (EOS) of high-density, zero-temperature
quark matter plays an essential role in constraining the behavior of dense strongly …

We demonstrate that ab-initio calculations in QCD at high densities offer significant and
nontrivial information about the equation of state of matter in the cores of neutron stars …

With the aim of exploring the evidence for or against phase transitions in cold and dense
baryonic matter, the inference of the sound speed and equation of state for dense matter in …

Understanding the behavior of dense hadronic matter is a central goal in nuclear physics as
it governs the nature and dynamics of astrophysical objects such as supernovae and …

We investigate the neutron star (NS) equation of state (EOS) by incorporating multi-
messenger data of GW170817, PSR J0030+ 0451, PSR J0740+ 6620, and state-of-the-art …

The high-density behavior of nuclear matter is analyzed within a relativistic mean field
description with nonlinear meson interactions. To assess the model parameters and their …

The maximal gravitational mass of nonrotating neutron stars (M TOV) is one of the key
parameters of compact objects and only loose bounds can be set based on the first …

We demonstrate that astrophysical constraints on the dense-matter equation of state place
an upper bound on the color-superconducting gap in dense matter above the transition from …