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Conformal anomaly and helicity effects in kinetic theory via scale-dependent coupling
In this prescription, the conformal anomaly leads to a hedgehog-like structure in the momentum space similar to the Berry phase associated with the axial anomaly.
High Energy Physics - Theory Mesoscale and Nanoscale Physics
Machine-learning physics from unphysics: Finding deconfinement temperature in lattice Yang-Mills theories from outside the scaling window
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(3) gauge theories.
Topological defects and confinement with machine learning: the case of monopoles in compact electrodynamics
We investigate the advantages of machine learning techniques to recognize the dynamics of topological objects in quantum field theories.
Casimir effect with machine learning
Vacuum fluctuations of quantum fields between physical objects depend on the shapes, positions, and internal composition of the latter.
