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Published on: January 19, 2018
Stress imagining of semiconductor surface by tip-enhanced Raman spectroscopy
Y Saito1, M Motohashi, N Hayazawa
1RIKEN (The Institute of Physical and Chemical Research), 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
Journal of Microscopy
|February 29, 2008
Summary
Tip-enhanced Raman imaging visualizes nanoscale stress in silicon lattices. This advanced technique achieves 25 nm resolution, overcoming limitations of conventional methods for precise material analysis.
Area of Science:
- Materials Science
- Nanotechnology
- Spectroscopy
Background:
- Nanoscale stress significantly impacts material properties.
- Conventional micro Raman spectroscopy averages stress over larger areas, limiting resolution.
- Understanding localized stress is crucial for advanced semiconductor devices.
Purpose of the Study:
- To develop and demonstrate a high-resolution technique for mapping nanoscale stress in silicon.
- To overcome the spatial averaging limitations of traditional Raman spectroscopy.
- To enable quantitative stress analysis at the nanoscale.
Main Methods:
- Utilized tip-enhanced Raman spectroscopy (TERS) with a metallized tip for localized excitation.
- Employed a reflection-mode configuration with 442-nm excitation and a silver-coated silicon nitride tip.
- Suppressed background signals from silicon germanium substrate and the tip itself.
- Analyzed the Raman shift of the Si-Si phonon mode for quantitative stress determination.
Main Results:
- Achieved visualization of localized stress with a spatial resolution down to 25 nm.
- Demonstrated effective suppression of background signals.
- Successfully performed quantitative stress analysis based on Raman shifts.
- Revealed nanoscale stress distributions invisible to conventional micro Raman.
Conclusions:
- Tip-enhanced Raman imaging is a powerful tool for nanoscale stress mapping in silicon.
- This technique provides unprecedented spatial resolution for material characterization.
- Enables detailed analysis of stress-induced property variations in nanostructures.

