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Updated: Apr 26, 2026

Liquid-cell Transmission Electron Microscopy for Tracking Self-assembly of Nanoparticles
Published on: October 16, 2017
Observation of self-assembled core-shell structures in epitaxially embedded TbErAs nanoparticles
Pernell Dongmo1, Matthew Hartshorne, Thomas Cristiani
1Department of Materials Science and Engineering, University of Delaware, 201 Dupont Hall, Newark, Delaware, 19716, USA.
Self-assembled rare-earth nanoparticles with a core-shell structure were observed in a III-V semiconductor matrix. A thermodynamic model confirmed the energetic favorability of these observed core-shell structures.
Area of Science:
- Materials Science
- Nanotechnology
- Semiconductor Physics
Background:
- Rare-earth nanoparticles exhibit unique optical and magnetic properties.
- III-V semiconductor alloys are crucial for optoelectronic devices.
- Controlling nanoparticle structure within a semiconductor matrix is key for advanced applications.
Purpose of the Study:
- To investigate the self-assembly and structure of rare-earth nanoparticles within a III-V semiconductor host.
- To analyze the core-shell morphology of these nanoparticles.
- To develop a thermodynamic model predicting the formation of core-shell structures.
Main Methods:
- Growth of TbErAs nanoparticles in an In0.53Ga0.47As matrix using molecular beam epitaxy.
- Atom probe tomography for detailed 3D reconstruction and chemical analysis of nanoparticles.
- Development and application of a thermodynamic model for structure prediction.
Main Results:
- Observation of self-assembled core-shell structured rare-earth nanoparticles (TbErAs).
- Confirmation of the core-shell structure via atom probe tomography, including atom-by-atom reconstruction and concentration profiles.
- Strong agreement between the thermodynamic model's predictions and experimental observations.
Conclusions:
- Core-shell structured rare-earth nanoparticles can be controllably formed in III-V semiconductors.
- Atom probe tomography is effective in characterizing complex nanostructures.
- Thermodynamic modeling provides a valuable tool for understanding and predicting nanoparticle self-assembly.
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