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Research

Research group of Gergely Endrődi

Campus der Universität Bielefeld
© Universität Bielefeld
Gergely Endrődi

Research interests

  • quantum field theory on and off the lattice
  • QCD phase diagram; confinement and chiral symmetry breaking
  • cosmological phase transitions
  • physics of compact stars
  • background electromagnetic fields in quantum field theories
  • simulation algorithms for lattice field theories
  • effective theories for QCD

You can find my complete publication list on iNSPIREhep, or also on ORCID, PUB and GScholar.


Recent research highlights

Local manifestation of the chiral magnetic effect in equilibrium QCD. [link] CME
Chiral charges are separated in dense magnetized QCD. [link] CSE
QCD phase diagram in a background electric field. [link] electric
Hofstadter's butterfly is deformed in inhomogeneous magnetic fields. [link] inhom
Superconformal values of the speed of sound are reached in isospin-asymmetric QCD matter. [link] cs
Equilibrium charge distribution in the presence of an oscillatory external electric field. [link] electric
Polyakov loop sectors and Roberge-Weiss phase transitions in the QCD phase diagram from perturbation theory. [link] flat
Topologically nontrivial ground states emerge in the spontaneously broken phase of a spin model. [link] flat
The magnetic permeability of strongly interacting matter is calculated with a new method. [link] Permeability
The early Universe may undergo pion condensation for large lepton asymmetry. [link] Cosmology
The Dirac eigenvalues spread out in the complex plane as the isospin chemical potential grows. [link] bcs
A low-energy approximation of QCD is improved to match lattice results on inverse magnetic catalysis. [link] NJL_B
Charged pions decay orders of magnitude faster if exposed to strong magnetic fields. [link] pion_B
The phase diagram of isospin-dense QCD exhibits a rich structure. [link]
Figure represented in PRD's Kaleidoscope.
QCD_iso
A generative neural network learns essential features of lattice scalar field theory. [link] GAN_vs_MC

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