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Quantum chemical studies on CdO nanoclusters stability
R Srinivasaraghavan1, R Chandiramouli, B G Jeyaprakash
1Department of Physics, SCSVMV University, Enathur, Kanchipuram 631 561, India.
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy
|December 11, 2012
Summary
This study reveals that Cadmium oxide (CdO) nano-particles transition from stable ring structures to 3D structures as size increases, impacting their optoelectronics and gas sensing applications.
Area of Science:
- Materials Science
- Computational Chemistry
- Nanotechnology
Background:
- Cadmium oxide (CdO) nano-particles have potential applications in optoelectronics and gas sensing.
- Understanding the structural stability of nano-particles is crucial for optimizing their performance.
Purpose of the Study:
- To investigate the structural stability of Cadmium oxide (CdO) nano-particles of varying sizes (n=1-8).
- To determine the preferred structural configurations (ring vs. 3D) as a function of cluster size.
- To provide insights into the factors governing nano-particle stability for potential applications.
Main Methods:
- Full structural optimization of (CdO)(n) clusters (n=1-8) using the Gaussian 03W program package.
- Employing the B3LYP/6-31G level of theory for electronic structure calculations.
- Simulating Infrared (IR) spectra to differentiate between structural types.
Main Results:
- For (CdO)(n) clusters with n=1-5, ring structures are found to be more stable.
- For clusters with n>5, three-dimensional (3D) structures become more energetically favorable than ring structures.
- Increasing cluster size leads to a preference for 3D configurations and higher coordination numbers for Cd and O atoms.
- Simulated IR spectra effectively distinguish between ring and cubic/hexagonal packing structures.
Conclusions:
- The structural stability of Cadmium oxide nano-particles is size-dependent, transitioning from ring to 3D structures.
- The findings provide a basis for designing CdO nano-particles with specific structural properties for optoelectronic and gas sensing applications.
- Computational methods, including IR spectroscopy, are valuable tools for characterizing nano-particle structures.
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