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Can GW handle multireference systems?

Abdallah Ammar1, Antoine Marie1, Mauricio Rodríguez-Mayorga2

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The GW approximation effectively models weakly correlated systems but struggles with strongly correlated multireference molecules. This study explores GW performance in various strongly correlated scenarios, revealing nuanced results based on computational choices.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Electronic Structure Theory

Background:

  • The GW approximation is successful for weakly correlated systems due to infinite bubble diagram summation.
  • Its performance in multireference systems with strong electron correlation is largely unexplored.
  • Understanding GW in these challenging systems is crucial for accurate electronic structure calculations.

Purpose of the Study:

  • To investigate the efficacy of the GW approximation for closed-shell, singlet ground-state multireference molecular systems.
  • To evaluate GW performance across diverse scenarios exhibiting strong electron correlation.
  • To identify factors influencing GW accuracy in the presence of strong correlation.

Main Methods:

  • Examined the potential energy curve of BeH2 during Be insertion into H2.
  • Computed electron detachment/attachment energies for LiF, BeO, BN, C2, B2, and O3.
  • Studied a triangular H6 cluster for spin frustration and HF dissociation for single bond breaking.

Main Results:

  • GW performance in multireference systems is sensitive to the level of self-consistency and initial guess.
  • Spin-symmetry breaking at the Hartree-Fock level significantly impacts GW results.
  • The study provides a detailed analysis of GW's capabilities and limitations in strong correlation regimes.

Conclusions:

  • The GW approximation shows a nuanced performance in strongly correlated multireference systems.
  • Accuracy depends critically on computational parameters like self-consistency and initial guess.
  • Further development or careful application is needed for reliable GW calculations in complex molecular systems.