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Updated: Jun 24, 2026

Spatial Separation of Molecular Conformers and Clusters
Published on: January 9, 2014
Electrostatic interaction schemes for evaluating the polarizability of silicon clusters
Maxime Guillaume1, Benoît Champagne, Didier Bégué
1Centre for Theoretical and Computational Chemistry, University of Tromsø, 9037 Tromsø, Norway. maxime.guillaume@uit.no
Electrostatic interaction schemes accurately predict silicon cluster polarizability. Including charge transfer effects improves accuracy for larger silicon clusters, highlighting the dominance of electrostatic interactions.
Area of Science:
- Computational chemistry
- Materials science
- Condensed matter physics
Background:
- Predicting the polarizability of silicon clusters is crucial for understanding their electronic properties.
- Existing methods often struggle to accurately capture the size-dependent polarizability variations.
Purpose of the Study:
- To develop and validate an electrostatic interaction scheme for predicting silicon cluster polarizability.
- To investigate the roles of on-site polarization and charge transfer effects on polarizability.
Main Methods:
- Application of electrostatic interaction schemes to silicon clusters (Si(n), n=3-19).
- Inclusion of on-site polarization and charge transfer effects.
- Comparison of results with B3LYP/6-311G(*) and other first-principles calculations.
- Modeling charge transfer as a function of atomic position relative to the cluster's center of mass.
Main Results:
- An atomic polarizability of ~80% of bulk value reproduces the average polarizability pattern but underestimates by ~25%.
- Incorporating charge transfer effects significantly improves agreement for larger clusters.
- Charge transfer effects enhance the prediction of polarizability anisotropy, especially for larger clusters.
Conclusions:
- Electrostatic effects become dominant over quantum effects in larger silicon clusters.
- The proposed electrostatic scheme, with charge transfer, provides a reliable method for predicting silicon cluster polarizability.
- The model successfully captures size-dependent trends and anisotropy in polarizability.
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