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Self-consistent, constrained linear-combination-of-atomic-potentials approach to quantum mechanics.

Brett I Dunlap1, Igor V Schweigert

  • 1Code 6189, Theoretical Chemistry Section, US Naval Research Laboratory, Washington, DC 20375-5342, USA. dumontr@mcmaster.ca

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Summary

This study introduces variational perturbation theory for precise Kohn-Sham (KS) potential calculations in density-functional theory. The method offers stationary potentials and energies without iterative steps, simplifying accurate derivative computations.

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Area of Science:

  • Computational Chemistry
  • Quantum Chemistry
  • Density-Functional Theory

Background:

  • The Kohn-Sham (KS) potential is crucial in density-functional theory (DFT) for determining electronic orbitals.
  • Accurate calculation of the KS potential and its derivatives is essential for reliable electronic structure predictions.

Purpose of the Study:

  • To develop and validate a novel variational perturbation theory for approximating the KS potential.
  • To provide a method for precise calculation of KS potential derivatives without iterative procedures.

Main Methods:

  • Development of variational perturbation theory through second order.
  • Application of linear-combination of atomic potentials (LCAP) approximation for stationary KS potentials.
  • Calculation of energy and KS potential derivatives using finite differences of self-consistent field (SCF) calculations.

Main Results:

  • Variational perturbation theory yields stationary KS potentials and even-order perturbed energies.
  • The method avoids computationally intensive iterative steps required by coupled-perturbed methods.
  • Precision of derivatives is independent of the fidelity of the LCAP KS potential approximation.
  • Fourth derivatives of energy and first/second derivatives of KS potentials were computed for standard molecules.

Conclusions:

  • The developed variational perturbation theory offers an efficient and accurate approach for KS potential and derivative calculations in DFT.
  • Constrained and unconstrained calculations showed no significant differences, simplifying the application of the method.