5 citations · 5 across the 9 of their papers we have counts for
9 papers
Deep-learning classification of physically admissible nuclear-matter equations of state
Ahmed Abuali, Micheal Kahangirwe, Francesco Di Clemente +3
Thermodynamic stability and causality impose fundamental constraints on the equation of state (EoS) of nuclear matter. Verifying these constraints conventionally requires calculati…
Quark and hybrid stars with renormalization group improvement of NNLO perturbative QCD
Loïc Fernandez, Jean-Loïc Kneur, Marcus Benghi Pinto +3
Recently, the NNLO perturbative QCD pressure of cold and dense symmetric matter, with arbitrary quark masses, has been resummed within the renormalization-group-optimized perturbat…
Partial Pressure Contributions of Hadron Families to the QCD Equation of State
Jonathan Gonzales, Alejandro Florez, Johannes Jahan +3
Lattice simulations provide the thermodynamics of quantum chromodynamics (QCD) as a function of the temperature, at zero-to-moderate values of the baryonic chemical potential. Howe…
Detecting the 3D Ising model phase transition with a ground-state-trained autoencoder
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
We develop a one-class, deep-learning framework to detect the phase transition and recover critical behavior of the 3D Ising model. A 3D convolutional neural network autoencoder (C…
Relativistic mean-field model with density- and isospin-density-dependent couplings
Gabriel Frohaug, Konstantin Maslov, Veronica Dexheimer +4
We present a new hadronic EoS with hyperons built within the relativistic mean-field (RMF) formalism with baryon-density- and isospin-density-dependent couplings. Motivated by micr…
A new 4D lattice QCD equation of state: extended density coverage from a generalized -expansion
Ahmed Abuali, Szabolcs Borsányi, Zoltán Fodor +7
We present a new equation of state for QCD in which the temperature and the three chemical potentials for baryon number , electric charge and strangeness can b…
Deep learning of phase transitions with minimal examples
Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen +3
Over the past several years, there have been many studies demonstrating the ability of deep neural networks to identify phase transitions in many physical systems, notably in class…
Convergence properties of -Expansion Scheme: Hadron Resonance Gas and Cluster Expansion Model
Micheal Kahangirwe, Irene Gonzalez, Jorge A. Muñoz +2
In this study, we assess the effectiveness and robustness of the recently proposed -expansion scheme for expanding the equation of state of strongly interacting matter to finit…
On the study of new proxies for second order cumulants of conserved charges in heavy-ion collisions with EPOS4
Johannes Jahan, Claudia Ratti, Maria Stefaniak +1
Proxies for cumulants of baryon number , electric charge and strangeness are usually measured in heavy-ion collisions via moments of net-number distribution of given had…