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of chemistry, structure, and transformations at the atomic scale of buried interfaces and defects by correlated experimental techniques in both space and time (e.g., correlated APT, TEM, FIM, EBIC, EBSD, XPS
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, TEM, EBSD). Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories. Designing active learning and experimental design
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APT, TEM, FIM, EBIC, EBSD, XPS Kelvin probe microscopy, machine learning augmented analysis techniques) Experimental and computational analysis of transport and the reaction of surfaces and particles
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