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Machine learning topological defect formation: When are the defects made?
computational-physicsgeneral-relativity-and-quantum-cosmologyhigh-energy-physics-phenomenologyhigh-energy-physics-theorystatistical-mechanics
Topological defects that form in a nonequilibrium second-order phase transition are presumably seeded by fluctuations of the order parameter in the vicinity of the critical point. Motivated by this conjecture that underlies the Kibble-Zurek mechanism (KZM), we investigate whether machine learning (M
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