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Adiabatic Connection without Coupling Constant Integration.

Jefferson E Bates1, Niladri Sengupta2, Jonathon Sensenig2

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|May 9, 2018
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Summary
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A new higher-order terms (HOT) approximation accurately calculates correlation energy using many-body perturbation theory. This method achieves high accuracy for various systems, with potential for reduced computational cost in some cases.

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Area of Science:

  • Quantum Chemistry
  • Computational Physics
  • Materials Science

Background:

  • Many-body perturbation theory (MBPT) is crucial for accurate electronic structure calculations.
  • The Random Phase Approximation (RPA) and its renormalized version (RPAr) are common MBPT methods.
  • Accurate calculation of correlation energy remains a challenge in electronic structure theory.

Purpose of the Study:

  • To develop a "higher-order terms" (HOT) approximation for correlation energy.
  • To improve the accuracy of MBPT methods for electronic structure calculations.
  • To investigate the computational efficiency and applicability of the new HOT approximation.

Main Methods:

  • Utilized a second-order approximation to the renormalized Random Phase Approximation (RPAr) for the density-density response function.
  • Developed the higher-order terms (HOT) approximation by incorporating first-order RPAr corrections.
  • Applied the HOT approximation to various periodic solids and molecular systems.

Main Results:

  • The HOT approximation achieves high accuracy for correlation energy, with errors typically 1% or less.
  • The method faithfully captures infinite-order correlation effects for a given exchange-correlation kernel.
  • For exchange-like kernels, the HOT approximation eliminates the need for coupling-strength integration, reducing computational cost.
  • Accurate correlation energy reproduction leads to accurate predictions of structural properties and energy differences.

Conclusions:

  • The HOT approximation offers a significant advancement in accurately calculating correlation energy within MBPT.
  • This method demonstrates broad applicability for predicting properties of solids and molecules.
  • While highly accurate for many properties, energy differences involving fragmentation present a challenge due to error cancellation issues.