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Structural evolution and electronic properties of medium-sized gallium clusters from ab initio genetic algorithm

Linwei Sai¹, Jijun Zhao, Xiaoming Huang

¹College of Advanced Science and Technology, Dalian University of Technology, Dalian 116024, China.

Journal of Nanoscience and Nanotechnology

|April 25, 2012

Summary

Researchers studied neutral gallium clusters (Ga(n)) using genetic algorithms and density functional theory. Core-shell structures emerged in larger clusters, with Ga23 and Ga36 showing high stability and unique electronic properties.

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Area of Science:

Computational Chemistry
Materials Science
Condensed Matter Physics

Background:

Understanding the properties of atomic clusters is crucial for developing new materials.
Gallium clusters exhibit unique structural and electronic behaviors that differ from bulk gallium.

Purpose of the Study:

To investigate the size-dependent structural and electronic properties of neutral gallium clusters (Ga(n)) from 20 to 40 atoms.
To identify stable structures and key electronic characteristics within this size range.

Main Methods:

Utilized a genetic algorithm combined with density functional theory (DFT) for structure prediction and property calculations.
Analyzed ground state structures, binding energies, HOMO-LUMO gaps, and electron density of states.

Main Results:

Observed diverse growth patterns in Ga(n) clusters.
Identified core-shell structures becoming dominant for n >= 31.
Ga23 and Ga36 exhibited high stability due to high point group symmetries.
Ga36 displayed a notably large HOMO-LUMO gap.

Conclusions:

Gallium cluster structures and electronic states differ significantly from solid alpha-gallium.
The properties of these clusters show resemblances to beta-gallium and liquid gallium.