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Published on: April 14, 2020
Mapping Polymer Molecular Order in the SEM with Secondary Electron Hyperspectral Imaging
Robert C Masters1, Nicola Stehling1, Kerry J Abrams1
1Department of Materials Science and Engineering University of Sheffield Sheffield S1 3JD UK.
New secondary electron (SE) spectroscopy and hyperspectral imaging reveal nanoscale molecular order in poly(3-hexylthiophene) (P3HT) films. This technique accurately maps crystalline content, advancing organic electronics characterization.
Area of Science:
- Materials Science
- Organic Electronics
- Spectroscopy
Background:
- Understanding nanoscale molecular order is key for developing advanced organic electronic devices.
- Current imaging techniques for molecular order in polymers lack sufficient resolution, accuracy, and accessibility.
- Poly(3-hexylthiophene) (P3HT) is a widely studied polymer in organic electronics.
Purpose of the Study:
- To introduce secondary electron (SE) spectroscopy and hyperspectral imaging as novel methods for probing molecular ordering in P3HT.
- To demonstrate the capability of SE spectroscopy to reflect the crystalline content of P3HT films.
- To utilize machine learning for accurate mapping of crystalline regions within P3HT films.
Main Methods:
- Secondary electron (SE) spectroscopy and hyperspectral imaging using a scanning electron microscope.
- Correlation of SE spectroscopy with nano-Fourier-transform infrared spectroscopy.
- Experimental and modeling approaches to investigate SE spectral features.
- Application of machine learning algorithms for image analysis.
Main Results:
- SE energy spectrum of P3HT films empirically correlates with crystalline content.
- Distinct SE energy distributions arise from the different electronic properties of amorphous and crystalline P3HT.
- Hyperspectral SE imaging successfully visualizes localized molecular orientation.
- Machine learning accurately identifies and maps crystalline content in P3HT films.
Conclusions:
- SE spectroscopy and hyperspectral imaging offer a powerful, accessible, and high-resolution alternative for characterizing molecular order in organic electronic materials.
- The technique provides valuable insights into the relationship between molecular structure and electronic properties.
- This approach facilitates the development of improved organic electronic devices through precise material characterization.
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