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Analyzing Many-Body Charge Transfer Effects With the Fragment Molecular Orbital Method.

Dmitri G Fedorov1

  • 1Materials DX Research Center (MDX), National Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, Japan.

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|May 15, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a many-body expansion for charge transfer (CT) energies within the fragment molecular orbital method. This approach helps analyze the impact of CT on molecular interactions, illustrated with examples like water clusters.

Keywords:
EDAFMOcharge transferdecomposition analysisinteractionmany‐body

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Theoretical Chemistry

Background:

  • Accurate calculation of interaction energies is crucial in chemistry.
  • Charge transfer (CT) is a key component of intermolecular interactions.
  • Existing methods may not fully capture many-body effects in CT.

Purpose of the Study:

  • To develop a many-body expansion for charge transfer (CT) energies.
  • To apply this expansion within the fragment molecular orbital (FMO) method.
  • To elucidate the role of CT in various molecular systems.

Main Methods:

  • Developed a many-body expansion of CT energies.
  • Integrated this expansion into the fragment molecular orbital method.
  • Utilized frontier orbital diagrams for graphical illustration.
  • Applied the method to analyze interactions in water clusters, solvated ions, and polypeptide motifs.

Main Results:

  • Successfully decoupled charge transfer and mixed terms in interaction energy decomposition.
  • Provided a detailed analysis of many-body charge transfer effects.
  • Quantified the contribution of CT to molecular interactions in diverse systems.

Conclusions:

  • The developed many-body expansion offers a robust framework for analyzing CT energies.
  • This method enhances the understanding of molecular interactions by explicitly accounting for many-body CT effects.
  • The approach is applicable to a range of chemical systems, from small clusters to biomolecular motifs.