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Published on: October 12, 2019
Correlated Structural and Optical Characterization of Hexagonal Boron Nitride
Jordan A Gusdorff1,2, Pia Bhatia3, Trey T Shin2,3
1Quantum Engineering Laboratory, Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States.
Surface contamination significantly impacts hexagonal boron nitride (hBN) properties. Microscopy techniques alter hBN
Area of Science:
- Materials Science
- Condensed Matter Physics
- Quantum Optics
Background:
- Hexagonal boron nitride (hBN) is crucial for nanoelectronics and nanophotonics.
- hBN exhibits room-temperature quantum emitters and optically addressable spins, vital for quantum technologies.
- The influence of surface contamination on hBN's properties is largely unexplored.
Purpose of the Study:
- To investigate the correlation between surface residue, flake morphology, and optical emission in hBN.
- To understand how microscopy techniques and common treatments affect hBN's optical and structural characteristics.
- To highlight the necessity of correlative studies for characterizing two-dimensional materials.
Main Methods:
- Preparation of hBN samples suitable for confocal photoluminescence (PL) microscopy, transmission electron microscopy (TEM), and atomic-force microscopy (AFM).
- Quantitative analysis of fluorescent emission, flake morphology, and surface residue using correlative microscopy.
- Evaluation of the effects of annealing and oxygen plasma cleaning on hBN structure and optical activity.
Main Results:
- Microscopy techniques induce changes: PL causes photobleaching, and TEM alters surface residue and emission.
- Surface contamination and residue morphology are directly linked to hBN's optical emission.
- Annealing and oxygen plasma treatments modify hBN's structure and optical properties.
Conclusions:
- Surface contamination and experimental conditions significantly influence hBN's optical and structural properties.
- Correlative microscopy is essential for accurately characterizing hBN and other 2D materials.
- Understanding these factors is key to optimizing hBN for quantum applications.
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