Information theoretic approach to molecular and reactive systems

Literature Information

Publication Date 2002-09-09
DOI 10.1039/B200616M
Impact Factor 3.676
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Abstract

The information-theoretic basis of the “stockholder” partitioning of the molecular electron density into fragment densities is reexamined in terms of the variational principles for alternative measures of the minimum information distance between the subsystem densities and promolecule electron distribution, for which the Hirshfeld scheme represents the optimum division. The local equalization of the subsystem information distance densities is discussed and illustrated for selected diatomics and triatomics. Approximate relations between the information content diagrams and familiar density difference plots of quantum chemistry are explored and the surprisal analysis of the molecular electron density is advocated as the entropic complement of to the familiar density difference diagrams. The generalized forces (affinities) and the Fukui function quantities of the Hirshfeld reactants in the donor-acceptor reactive system are examined. These affinities, combining both the information entropy and the Fukui function information, drive the charge transfer processes between the subsystems. Various Fukui function descriptors of acidic and basic reactants are defined and the associated minimum entropy deficiency rule for the Fukui function “distributions” is established.

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Source Journal

Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.

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