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Published on: December 20, 2016
Cluster embedding of ionic systems: Point charges and extended ions.
Paul S Bagus1, Michel J Sassi2, Kevin M Rosso2
1Department of Chemistry, University of North Texas, Denton, Texas 76203-5017, USA.
Simple cluster models with point charges are sufficient for accurately predicting relative ionization and excitation energies in core-level spectroscopy of oxides. Embedding details have minimal impact on these relative energies, simplifying spectral analysis.
Area of Science:
- Solid-state chemistry
- Theoretical chemistry
- Materials science
Background:
- Cluster models are used to simulate the electronic structure of oxides.
- Core-level spectroscopies measure ionization and excitation energies, providing insights into electronic structure.
- Embedding methods approximate the influence of the surrounding crystal environment on model clusters.
Purpose of the Study:
- To investigate the impact of different embedding methods on the electronic structure of oxide cluster models.
- To determine how embedding affects relative ionization and excitation energies relevant to core-level spectroscopy.
- To assess the sufficiency of simple embedding models for accurate spectral predictions.
Main Methods:
- Examination of cluster models for oxides using point charge embedding.
- Inclusion of extended embedding methods considering cation spatial extent.
- Analysis of the consequences for relative ionization and excitation energies.
Main Results:
- The electronic structure of oxides and relative energy levels show weak dependence on embedding methods.
- Simple embedding models are adequate for determining core-level spectra.
- Absolute ionization energies are sensitive to extended crystal details, unlike relative binding energies.
Conclusions:
- Relative ionization and excitation energies in core-level spectroscopy are robust to embedding approximations.
- Simplified embedding approaches are sufficient for accurate modeling of core-level spectra in oxides.
- Focusing on relative binding energies is more practical for spectral analysis than absolute values.
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