A physics-informed domain adaptation approach, trained on 600,000 synthesized flake images, is claimed to set state-of-the-art results for detection, layer classification, and thickness estimation on real 2D material datasets.
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$\varphi$-Adapt: A Physics-Informed Adaptation Learning Approach to 2D Quantum Material Discovery
A physics-informed domain adaptation approach, trained on 600,000 synthesized flake images, is claimed to set state-of-the-art results for detection, layer classification, and thickness estimation on real 2D material datasets.