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Updated: Jun 4, 2026

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
Published on: April 8, 2020
Atomic volume as a descriptor for carbon electronic structure and stability.
1National Institute of Chemistry, Hajdrihova 19, 1000 Ljubljana, Slovenia. andrej.krzan@ki.si
Quantifying electron density in carbon atoms is challenging. This study uses Atoms in Molecules (AIM) theory to show atomic charge and volume as reliable indicators of molecular stability and reactivity.
Area of Science:
- Quantum Chemistry
- Computational Chemistry
- Materials Science
Background:
- Molecular stability is intrinsically linked to electron density distribution.
- Accurate quantification of electron density at specific atoms, particularly carbon, remains a significant challenge in chemistry.
- Understanding electron depletion is crucial for predicting compound stability and reactivity.
Purpose of the Study:
- To develop a quantitative method for assessing electron depletion at carbon atoms.
- To explore the utility of atomic charge and volume as descriptors for molecular stability.
- To establish a predictive indicator for the stability and reactivity of highly oxidized compounds.
Main Methods:
- Employed the Atoms in Molecules (AIM) quantum theory for calculations.
- Calculated atomic charges and atomic volumes for carbon atoms.
- Focused analysis on a series of highly oxidized compounds.
Main Results:
- Atomic charge and volume were identified as effective quantitative descriptors of electron depletion.
- These parameters demonstrated a strong correlation with the stability and reactivity profiles of the studied compounds.
- The AIM-derived parameters provide a novel approach to characterizing carbon atom electronic environments.
Conclusions:
- Atomic charge and volume derived from AIM theory serve as robust indicators of electron depletion in carbon atoms.
- These descriptors can reliably predict the stability and reactivity of highly oxidized compounds.
- The findings offer a valuable tool for computational and synthetic chemists.
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