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Interacting-Bath Dynamical Embedding for Capturing Nonlocal Electron Correlation in Solids.

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|December 6, 2024
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Summary
This summary is machine-generated.

We developed interacting-bath dynamical embedding theory (ibDET) for accurate electronic structure simulations. This method efficiently treats electron correlations, improving predictions for materials properties.

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Area of Science:

  • Computational materials science
  • Quantum chemistry
  • Condensed matter physics

Background:

  • Accurate simulation of electronic structure in solids necessitates simultaneous treatment of local and nonlocal electron correlations.
  • Existing methods like dynamical mean-field theory often simplify bath representations, limiting accuracy.

Purpose of the Study:

  • To introduce a novel ab initio Green's function embedding formulation for improved electronic structure calculations.
  • To develop a systematically improvable method that incorporates general two-particle interactions in the bath representation.

Main Methods:

  • Formulation of interacting-bath dynamical embedding theory (ibDET).
  • Utilization of an efficient real-axis coupled-cluster solver for self-energy computation.
  • Integration with GW theory (GW+ibDET) for comprehensive material property analysis.

Main Results:

  • ibDET systematically derives bath representations with general two-particle interactions.
  • GW+ibDET demonstrates good agreement with experimental spectral properties for diverse materials (semiconductors, insulators, metals).
  • The method quantifies the impact of nonlocal electron correlation on material properties.

Conclusions:

  • The developed ibDET offers a computationally efficient and accurate approach to electronic structure simulations.
  • This method provides insights into phenomena like bandwidth narrowing in metallic sodium.
  • GW+ibDET represents a significant advancement for predicting material properties.