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Published on: May 13, 2013
Excitonic and quasiparticle gaps in Si nanocrystals
1Institut d'Electronique et de Microelectronique du Nord, Departement Institut Superieur d'Electronique du Nord, 41 boulevard Vauban 59046 Lille Cedex, France.
Physical Review Letters
|October 6, 2000
Summary
Calculations show that self-energy and Coulomb corrections nearly cancel in silicon nanocrystals larger than 0.6 nm. This finding means simpler one-particle calculations accurately predict the excitonic gap for these materials.
Area of Science:
- Computational materials science
- Quantum chemistry
- Solid-state physics
Background:
- Silicon nanocrystals exhibit quantum confinement effects influencing their electronic and optical properties.
- Accurate prediction of the excitonic gap is crucial for understanding and designing silicon nanocrystal-based optoelectronic devices.
Purpose of the Study:
- To calculate one- and two-particle excitations in silicon nanocrystals.
- To investigate the interplay between self-energy and Coulomb corrections.
- To develop computationally efficient methods for studying silicon nanocrystals.
Main Methods:
- Employed the GW approximation for one-particle properties.
- Utilized the Bethe-Salpeter equation for excitonic gap calculations.
- Developed a tight-binding approach to extend calculations to larger clusters (up to 275 atoms).
Main Results:
- Demonstrated that self-energy and Coulomb corrections largely cancel for silicon crystallites with radii exceeding 0.6 nm.
- Showed that one-particle calculations provide accurate excitonic gap values for commonly studied nanocrystal sizes.
- The developed tight-binding GW-Bethe-Salpeter equation method enables efficient simulation of larger systems.
Conclusions:
- One-particle electronic structure calculations are sufficient for accurately determining the excitonic gap in silicon nanocrystals above a critical size.
- The cancellation effect simplifies theoretical predictions, facilitating the study of silicon nanocrystals.
- The computational methods developed are applicable to a range of silicon cluster sizes relevant to nanomaterials research.
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