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Creators/Authors contains: "Kang, Mingu"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Physical Review Letters)
  2. ; ; ; ; ; ; ; ; ; ; et al (, Physical Review X)
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  3. ; ; ; ; (, Accelerating attention through gradient-based learned runtime pruning)
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  4. ; ; ; ; ; ; ; ; ; ; et al (, Nature)
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  5. ; ; ; ; ; ; ; (, Nature Communications)
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    Abstract Tip-enhanced nano-spectroscopy, such as tip-enhanced photoluminescence (TEPL) and tip-enhanced Raman spectroscopy (TERS), generally suffers from inconsistent signal enhancement and difficulty in polarization-resolved measurement. To address this problem, we present adaptive tip-enhanced nano-spectroscopy optimizing the nano-optical vector-field at the tip apex. Specifically, we demonstrate dynamic wavefront shaping of the excitation field to effectively couple light to the tip and adaptively control for enhanced sensitivity and polarization-controlled TEPL and TERS. Employing a sequence feedback algorithm, we achieve ~4.4 × 10 4 -fold TEPL enhancement of a WSe 2 monolayer which is >2× larger than the normal TEPL intensity without wavefront shaping. In addition, with dynamical near-field polarization control in TERS, we demonstrate the investigation of conformational heterogeneity of brilliant cresyl blue molecules and the controllable observation of IR-active modes due to a large gradient field effect. Adaptive tip-enhanced nano-spectroscopy thus provides for a systematic approach towards computational nanoscopy making optical nano-imaging more robust and widely deployable. 
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  6. ; ; ; ; ; ; ; ; ; ; et al (, Advanced Functional Materials)
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  7. ; ; ; ; ; ; ; (, 2018 ACM/IEEE 45th Annual International Symposium on Computer Architecture (ISCA))
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  8. ; ; ; ; ; ; ; ; ; ; et al (, Nature Physics)
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