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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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hep-lat2020★ 35 cited

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…