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Automated approaches for band gap mapping in STEM-EELS.

Cecilie S Granerød1, Wei Zhan1, Øystein Prytz1

  • 1Department of Physics, Centre for Materials Science and Nanotechnology, University of Oslo, P. O. Box 1048 Blindern, N-0316 Oslo, Norway.

Ultramicroscopy
|August 27, 2017
PubMed
Summary

We developed automated methods to precisely map band gap variations in nanomaterials using Scanning Transmission Electron Microscopy (STEM) and Electron Energy-Loss Spectroscopy (EELS). This overcomes limitations of traditional techniques for analyzing complex thin film structures.

Keywords:
Band gap measurementsEELSSTEMSpectrum images

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Band gap variations in materials are crucial for electronic and optical properties.
  • Traditional experimental techniques lack the spatial resolution to study these variations at the nanoscale.
  • Scanning Transmission Electron Microscopy (STEM) with Electron Energy-Loss Spectroscopy (EELS) offers high spatial resolution but requires extensive user analysis.

Purpose of the Study:

  • To develop automated methods for extracting band gap information from large STEM-EELS datasets.
  • To enable high-resolution mapping of band gap variations in nanoscale materials.
  • To overcome the challenges of manual analysis in large STEM-EELS datasets.

Main Methods:

  • Utilized probe-corrected Scanning Transmission Electron Microscope (STEM).
  • Employed monochromated Electron Energy-Loss Spectroscopy (EELS) for high-resolution data acquisition.
  • Developed and implemented automated algorithms for band gap extraction from EELS spectra.

Main Results:

  • Successfully generated high-resolution band gap maps from large STEM-EELS datasets.
  • Demonstrated automated extraction with high accuracy and precision.
  • Enabled detailed analysis of band gap variations in thin films, grain boundaries, and nanoparticles.

Conclusions:

  • Automated analysis of STEM-EELS data significantly enhances the study of nanoscale band gap variations.
  • The developed methods provide a powerful tool for materials scientists investigating electronic and optical properties.
  • This approach facilitates the understanding and design of advanced nanomaterials.