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Natural Orbitals for Wave Function Based Correlated Calculations Using a Plane Wave Basis Set.

Andreas Grüneis1, George H Booth2, Martijn Marsman1

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Natural orbitals significantly reduce computational costs for quantum chemistry calculations using plane wave basis sets. This method, evaluated with Møller-Plesset perturbation theory (MP2), enables efficient correlated calculations for atoms and molecules.

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Area of Science:

  • Computational Chemistry
  • Quantum Mechanics
  • Materials Science

Background:

  • Correlated calculations in quantum chemistry are computationally intensive.
  • Plane wave basis sets under periodic boundary conditions are common for condensed matter systems.
  • Reducing computational cost is crucial for studying larger systems.

Purpose of the Study:

  • To demonstrate the efficiency of natural orbitals in reducing computational cost for wave function based correlated calculations.
  • To apply natural orbitals in conjunction with plane wave basis sets and periodic boundary conditions.
  • To test the implementation using various quantum chemistry methods.

Main Methods:

  • Evaluation of natural orbitals using second-order Møller-Plesset perturbation theory (MP2).
  • Development of an approximation to reduce computational scaling from O(N^5) to O(N^4).
  • Application to coupled-cluster singles and doubles (CCSD) and Quantum Monte Carlo calculations for H2.
  • Calculation of atomization energies for LiH molecule and solid.

Main Results:

  • Natural orbitals effectively reduce the computational cost of correlated calculations.
  • An O(N^4) scaling approximation provides significant reduction in virtual orbitals.
  • MP2 and CCSD calculations on H2 and LiH demonstrate the method's applicability.
  • Accurate atomization energies were obtained for LiH.

Conclusions:

  • Natural orbitals are a powerful tool for accelerating correlated electronic structure calculations.
  • The developed approximation offers a practical way to further enhance computational efficiency.
  • This approach is beneficial for studying extended systems and complex molecules.