4 papers
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…