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20202026
most citedMachine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window

35 citations · 48 across the 8 of their papers we have counts for

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Showing 2022Show all

3 papers · 1 filter

hep-lat2022★ 9 cited

Numerical Study of the Roberge-Weiss Transition

V. G. Bornyakov, N. V. Gerasimeniuk, V. A. Goy +4

We study the Roberge-Weiss phase transition numerically. The phase transition is associated with the discontinuities in the quark-number density at specific values of imaginary qua…

hep-lat2022

Applying machine learning methods to prediction problems of lattice observables

N. V. Gerasimeniuk, M. N. Chernodub, V. A. Goy +3

We discuss the prediction of critical behavior of lattice observables in SU(2) and SU(3) gauge theories. We show that feed-forward neural network, trained on the lattice configurat…

hep-lat2022★ 1 cited

The Difference between the Longitudinal and Transverse Gluon Propagators as an Indicator of the Postconfinement Domain

V. G. Bornyakov, N. V. Gerasimeniuk, V. A. Goy +1

We study numerically the dependence of the difference between the longitudinal and transverse gluon propagators, , on the momentum and temperature at both…