A machine-learning fit to lattice chromo field data yields a compact two-variable expression for E(d, xt) and reproduces flux tube string tension and width over existing separations.
Greensite, An Introduction to the Confinement Problem, Lecture Notes in Physics (Springer Berlin Heidelberg, 2011)
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Machine Learning Insights into Quark-Antiquark Interactions: Probing Field Distributions and String Tension in QCD
A machine-learning fit to lattice chromo field data yields a compact two-variable expression for E(d, xt) and reproduces flux tube string tension and width over existing separations.