61 citations · 62 across the 2 of their papers we have counts for
16 papers
Identifying the nature of the QCD transition in heavy-ion collisions with deep learning
Yi-Lun Du, Kai Zhou, Jan Steinheimer +5
In this proceeding, we review our recent work using deep convolutional neural network (CNN) to identify the nature of the QCD transition in a hybrid modeling of heavy-ion collision…
Laser Wake Field Collider
István Papp, Larissa Bravina, Mária Csete +11
Recently NAano-Plasmonic, Laser Inertial Fusion Experiments (NAPLIFE) were proposed, as an improved way to achieve laser driven fusion. The improvement is the combination of two ba…
The possibility of twin star solutions in a model based on lattice QCD thermodynamics
P. Jakobus, A. Motornenko, R. O. Gomes +2
The properties of compact stars and in particular the existence of twin star solutions are investigated within an effective model that is constrained by lattice QCD thermodynamics.…
QCD equation of state at vanishing and high baryon density: Chiral Mean Field model
Anton Motornenko, Jan Steinheimer, Volodymyr Vovchenko +2
The thermodynamic properties of high temperature and high density QCD-matter are studied using the Chiral SU(3)-flavor parity-doublet Polyakov-loop quark-hadron mean-field model, C…
Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning
Yi-Lun Du, Kai Zhou, Jan Steinheimer +5
Using deep convolutional neural network (CNN), the nature of the QCD transition can be identified from the final-state pion spectra from hybrid model simulations of heavy-ion colli…
Backward nucleon production by heavy baryonic resonances in proton-nucleus collisions
Oleksandra Panova, Anton Motornenko, Mark I. Gorenstein +2
The production of backward nucleons, , at in the nuclear target rest frame in proton-nucleus () collisions is studied. The backward nucleons…