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Decoding Crystallographic Surface Chirality from Real Space and Momentum Space Images by Machine Learning
Intrinsically chiral metal surfaces, where handedness arises from the asymmetric step-kink-terrace topology of high-Miller index planes, are model systems for enantiospecific catalysis, sensing, and spintronics. Yet no consistent method exists to classify their handedness directly from experimental
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