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Interplay between defect propagation and surface hydrogen in silicon nanowire kinking superstructures
Naechul Shin1, Miaofang Chi, Michael A Filler
1School of Chemical & Biomolecular Engineering, Georgia Institute of Technology , Atlanta, Georgia 30332, United States.
ACS Nano
|March 11, 2014
Summary
Fabricating semiconductor nanowire kinking superstructures is challenging. This study reveals adsorbed hydrogen atoms guide growth and twin boundaries enable structural coherence, offering a new engineering approach.
Area of Science:
- Materials Science
- Nanotechnology
- Surface Chemistry
Background:
- Semiconductor nanowire kinking superstructures with long-range structural coherence are difficult to fabricate.
- Understanding the mechanisms governing nanowire kinking is crucial for controlled synthesis.
Purpose of the Study:
- To investigate the reasons behind the difficulty in fabricating semiconductor nanowire kinking superstructures.
- To elucidate the interplay between defect propagation and surface chemistry during kinking events.
- To establish a general approach for rationally engineering kinking superstructures.
Main Methods:
- High-resolution electron microscopy (HREM) was employed to analyze the structural aspects of kinking.
- Operando infrared spectroscopy was utilized to probe surface chemistry during the synthesis process.
- The study focused on silicon (Si) nanowires undergoing ⟨211⟩ → ⟨111⟩ and ⟨211⟩ → ⟨211⟩ kinking.
Main Results:
- Adsorbed hydrogen atoms were identified as the key factor in selecting ⟨211⟩-oriented growth.
- A continuous twin boundary was found to impart structural coherence, particularly at ⟨211⟩ → ⟨211⟩ kinks.
- The presence of the twin boundary reduces the symmetry of the trijunction, limiting available growth directions.
Conclusions:
- The findings provide critical insights into the role of surface chemical bonding in vapor-liquid-solid (VLS) synthesis.
- A general strategy for the rational engineering of kinking superstructures in nanowires is proposed.
- This work advances the understanding and control of complex nanowire architectures.

