Topological defects are quasiparticles whose topological nature provides some stability against perturbations. Skyrmions, domain walls, dislocations in crystals, vortices in superconductors and ...
Abstract: Deep learning methods have shown promising achievements, yet require a substantial quantity of training data. In industrial manufacturing scenarios, the training samples for certain defect ...
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