Performance of 3D-space-based atoms-in-molecules methods for electronic delocalization aromaticity indices
Wouter Heyndrickx1, Pedro Salvador, Patrick Bultinck
1Department of Chemistry, University of Bergen, Norway.
Journal of Computational Chemistry
|August 31, 2010
Summary
Different ways to define atoms in molecules impact electron sharing indices and aromaticity calculations. Disjoint domains provide more chemically expected trends for aromaticity measures.
Area of Science:
- Quantum Chemistry
- Theoretical Chemistry
- Computational Chemistry
Background:
- Accurate calculation of electronic properties like electron sharing indices (ESI) is crucial for understanding molecular behavior.
- Aromaticity is a key concept in chemistry, influencing molecular stability and reactivity.
- Different theoretical models exist for defining atoms within molecules and calculating their properties.
Purpose of the Study:
- To compare different definitions of atoms in a molecule (AIM) for calculating electron sharing indices (ESI).
- To evaluate the impact of these AIM definitions on electronic aromaticity measures, including I(ring) and multicenter indices (MCI).
- To assess the performance of iterative Hirshfeld, classical Hirshfeld, and Bader's quantum theory of atoms in molecules (QTAIM) schemes.
Main Methods:
- Calculation of ESI and aromaticity indices using fuzzy and disjoint AIM domains.
- Application of iterative Hirshfeld, classical Hirshfeld, and QTAIM methods.
- Analysis of cyclic planar aromatic and nonaromatic molecules of varying ring sizes.
Main Results:
- ESI values for bonded atoms show excellent agreement across all methods, particularly for C-C bonds.
- Significant deviations in ESI are observed for nonbonded interactions between fuzzy and QTAIM schemes.
- Discrepancies in ESI lead to notable differences in aromaticity indices, with disjoint domains yielding more chemically expected trends.
Conclusions:
- The choice of AIM definition significantly influences calculated aromaticity indices.
- Disjoint AIM domains appear more reliable for consistently capturing expected chemical trends in aromaticity.
- Understanding the impact of AIM definitions is essential for accurate theoretical chemistry predictions.
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