ArticleJournal of molecular modeling2024
Why are information-theoretic descriptors powerful predictors of atomic and molecular polarizabilities.
Article in Journal of molecular modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The Scaled Hirshfeld Partitioning: Mathematical Development and Information-Theoretic Foundation.Entropy (Basel, Switzerland) · 2026Article
- Information-Theoretic and Conceptual Density Functional Theory Insights on Frustration in Molecular Clusters.Entropy (Basel, Switzerland) · 2026Article
- Information Theory Meets Quantum Chemistry: A Review and Perspective.Entropy (Basel, Switzerland) · 2025Review
- Charge Transfer Is Promoted by Electronic Heat Exchange in Atoms and Molecules.The journal of physical chemistry letters · 2025Review
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Authors and funding
5 authors.
Funding
Abstract
contextWe rationalize the excellent performance of information-theoretic descriptors for predicting atomic and molecular polarizabilities. It seems that descriptors which capture information about the change in valence-shell structure, especially the relative Fisher information measures, are particularly useful. Using this, we can rationalize why the G3 form of the relative Fisher information, which measures the deviation of effective nuclear charge between an atom-in-a-molecule and the reference pro-atom, is especially effective as a predictor of molecular polarizability.
methodsThere are no methods used in this paper, which relies on mathematical derivation and analysis.
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39361186What OpenQuestion holds
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