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Updated: Jul 14, 2026

Spatial Separation of Molecular Conformers and Clusters
Published on: January 9, 2014
Improved exchange-correlation potential for polarizability and dissociation in density functional theory.
Neepa T Maitra1, Meta van Faassen
1Department of Physics and Astronomy, Hunter College and City University of New York, New York, New York 10021, USA.
Researchers introduce a new method for calculating electric field effects on molecular properties using the Vignale-Kohn (VK) functional. This approach improves accuracy for polarizabilities and molecular dissociation, especially for challenging systems like H(2).
Area of Science:
- Quantum Chemistry
- Computational Physics
- Materials Science
Background:
- Calculating molecular polarizabilities and dissociation behavior in electric fields is crucial for understanding chemical reactions and material properties.
- Existing methods often struggle with accuracy, particularly for open-shell systems and strong fields.
Purpose of the Study:
- To develop a novel approach for accurately predicting polarizabilities and dissociation in electric fields.
- To leverage the static limit of the Vignale-Kohn (VK) functional for improved ground-state properties.
Main Methods:
- Focusing on the response to the scalar part of the Vignale-Kohn (VK) response potential.
- Evaluating the ground-state properties of this specific potential.
- Comparing the performance against the full VK response density and semi-local functionals.
Main Results:
- The proposed potential exhibits improved ground-state properties compared to existing methods.
- The potential demonstrates correct qualitative behavior for polarizabilities, particularly for systems like the H(2) chain.
- Accurate dissociation of open-shell fragments in electric fields is achieved.
Conclusions:
- The novel approach based on the VK functional offers a significant improvement for calculating electric field effects on molecules.
- This method is expected to enhance predictions for molecular polarizabilities and dissociation, broadening its applicability in computational chemistry and physics.
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