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Comparison of self-consistent field convergence acceleration techniques.

Alejandro J Garza1, Gustavo E Scuseria

  • 1Department of Chemistry, Rice University, Houston, Texas 77251-1892, USA.

The Journal of Chemical Physics
|August 17, 2012
PubMed
Summary

The study compares self-consistent field (SCF) convergence acceleration methods. Energy-DIIS (EDIIS) + DIIS is shown to be superior to ADIIS and LIST methods for SCF convergence.

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Area of Science:

  • Computational chemistry
  • Quantum chemistry
  • Electronic structure theory

Background:

  • Accelerating self-consistent field (SCF) convergence is crucial for computational chemistry.
  • Several methods, including ADIIS, LIST, and energy-DIIS (EDIIS) + DIIS, have been proposed to improve SCF convergence rates.
  • Previous studies have reported varying degrees of success and limitations for these methods.

Purpose of the Study:

  • To mathematically compare the recently proposed ADIIS and LIST methods with the established EDIIS + DIIS technique for SCF convergence acceleration.
  • To investigate and clarify reported convergence failures of the EDIIS + DIIS method.
  • To determine the most effective DIIS-based method for SCF convergence.

Main Methods:

  • Mathematical derivation to demonstrate the identity between ADIIS and EDIIS for Hartree-Fock wavefunctions.
  • Implementation and testing of ADIIS, LIST, and EDIIS + DIIS methods using computational codes.
  • Comparative analysis of convergence performance across different methods and computational cases.

Main Results:

  • ADIIS functional is mathematically identical to EDIIS for Hartree-Fock wavefunctions.
  • Reported convergence failures of EDIIS + DIIS were not reproduced with the current codes, suggesting implementation-dependent issues.
  • Correctly implemented EDIIS + DIIS generally outperformed LIST methods in tested cases.

Conclusions:

  • EDIIS + DIIS remains the preferred method for SCF convergence acceleration within the DIIS family.
  • The findings highlight the importance of correct implementation for achieving optimal performance of SCF convergence algorithms.
  • Further investigation into the nuances of different DIIS methods may be warranted for specific computational challenges.