441 citations · 4.8k across the 176 of their papers we have counts for
6 papers · 1 filter
Spinodal enhancement of fluctuations in nucleus-nucleus collisions
Roman Poberezhnyuk, Oleh Savchuk, Volodymyr Vovchenko +4
Subensemble Acceptance Method (SAM) [1,2] is an essential link between measured event-by-event fluctuations and their grand canonical theoretical predictions such as lattice QCD. T…
Optimal Power Flow in Highly Renewable Power System Based on Attention Neural Networks
Chen Li, Alexander Kies, Kai Zhou +4
The Optimal Power Flow (OPF) problem is pivotal for power system operations, guiding generator output and power distribution to meet demand at minimized costs, while adhering to ph…
Quantum van der Waals theory meets quarkyonic matter
Roman V. Poberezhnyuk, Horst Stoecker, Volodymyr Vovchenko
We incorporate the empirical low-density properties of isospin symmetric nuclear matter into the excluded-volume model for quarkyonic matter by including attractive mean field in t…
Canonical Ensemble vs. Grand Canonical Ensemble in the Description of Multicomponent Bosonic Systems
D. Anchishkin, V. Gnatovskyy, D. Zhuravel +3
The thermodynamics of a system of interacting bosonic particles and antiparticles in the presence of the Bose-Einstein condensate is studied in the framework of the Skyrme-like mea…
Model dependence of the number of participant nucleons and observable consequences in heavy-ion collisions
Manjunath Omana Kuttan, Jan Steinheimer, Kai Zhou +2
The centrality determination and the estimated fluctuations of number of participant nucleons in Au-Au collisions at 1.23 GeV beam kinetic energy suffers from severe…
Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks
Shuai Han, Lukas Stelz, Horst Stoecker +2
A physics-informed neural network (PINN) embedded with the susceptible-infected-removed (SIR) model is devised to understand the temporal evolution dynamics of infectious diseases.…