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Orbital Optimization in Selected Configuration Interaction Methods.

Yuan Yao1, C J Umrigar1

  • 1Laboratory of Atomic and Solid State Physics, Cornell University, Ithaca, New York 14853, United States.

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|June 16, 2021
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Summary
This summary is machine-generated.

Orbital optimization in selected configuration interaction (SCI) methods is crucial for fast convergence. Two quasi-fully coupled methods, accelerated diagonal Newton and Broyden-Fletcher-Goldfarb-Shanno, are recommended for improved computational efficiency.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Orbital optimization is essential in electronic structure methods.
  • Selected configuration interaction (SCI) methods offer a balance between accuracy and computational cost.
  • Perturbation theory is often used to refine SCI calculations.

Purpose of the Study:

  • To investigate and compare different orbital optimization strategies within SCI methods.
  • To analyze the similarities and differences between orbital optimization in SCI and complete active space self-consistent field (CASSCF).
  • To identify efficient methods for achieving fast convergence in SCI calculations.

Main Methods:

  • Utilized the semistochastic heat-bath configuration interaction (SHCI) method.
  • Tested optimization approaches on ground and excited states of three molecules.
  • Classified optimization methods into uncoupled, fully coupled, and quasi-fully coupled based on parameter interactions.

Main Results:

  • Demonstrated that incorporating coupling between configuration interaction coefficients and orbital parameters is vital for rapid convergence.
  • Evaluated the performance of various orbital optimization techniques.
  • Identified specific methods that significantly enhance computational efficiency.

Conclusions:

  • Coupling effects are critical for efficient orbital optimization in SCI.
  • Recommends two quasi-fully coupled methods: accelerated diagonal Newton and Broyden-Fletcher-Goldfarb-Shanno (BFGS).
  • These methods provide a pathway for faster and more reliable electronic structure calculations.