26 citations · 29 across the 2 of their papers we have counts for
9 papers
The Asymmetry and Gluon Propagators in Lattice Gluodynamics at
V. G. Bornyakov, V. A. Goy, V. K. Mitrjushkin +1
We study numerically the chromoelectric-chromomagnetic asymmetry of the dimension two gluon condensate as well as the infrared behavior of the gluon propagators at $T\simeq T…
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
D. L. Boyda, M. N. Chernodub, N. V. Gerasimeniuk +3
We study the machine learning techniques applied to the lattice gauge theory's critical behavior, particularly to the confinement/deconfinement phase transition in the SU(2) and SU…
Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics
M. N. Chernodub, Harold Erbin, V. A. Goy +1
We investigate the advantages of machine learning techniques to recognize the dynamics of topological objects in quantum field theories. We consider the compact U(1) gauge theory i…
Casimir effect with machine learning
M. N. Chernodub, Harold Erbin, I. V. Grishmanovskii +2
Vacuum fluctuations of quantum fields between physical objects depend on the shapes, positions, and internal composition of the latter. For objects of arbitrary shapes, even made f…
New way of collision experiment data analysis based on Grand Canonical Distribution and Lattice QCD data
V. Bornyakov, D. Boyda, V. Goy +2
We propose new way of heavy ion collisions experiment data analysis. We analyze physical parameters of fireball created in RHIC experiment based on Grand Canonical Distribution and…
Phase structure of lattice Yang-Mills theory on
M. N. Chernodub, V. A. Goy, A. V. Molochkov
We study properties of SU(2) Yang-Mills theory on a four-dimensional Euclidean spacetime in which two directions are compactified into a finite two-dimensional torus ${\mathbb T}^2…