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Approximating electronically excited states with equation-of-motion linear coupled-cluster theory.

Jason N Byrd1, Varun Rishi1, Ajith Perera1

  • 1Quantum Theory Project, University of Florida, Gainesville, Florida 32611, USA.

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|November 2, 2015
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Summary

A new perturbative approach enhances equation-of-motion coupled-cluster theory for excited states. The novel methods show excellent agreement with experimental spectra for organic molecules.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Spectroscopy

Background:

  • Canonical equation-of-motion coupled-cluster (EOM-CC) theory is a standard method for calculating electronic excitation energies.
  • Perturbative approaches offer a computationally less expensive alternative to high-level CC methods.
  • Developing accurate and efficient methods for excited state calculations remains a key challenge in computational chemistry.

Purpose of the Study:

  • To introduce a new perturbative approach to canonical equation-of-motion coupled-cluster (EOM-CC) theory.
  • To develop novel EOM-CC methods based on linear coupled-cluster doubles (LCCD) and linear coupled-cluster singles and doubles (LCCSD) wavefunctions.
  • To benchmark the performance of these new methods against experimental and high-accuracy theoretical data.

Main Methods:

  • A second-order Møller-Plesset partitioning of the Hamiltonian was employed.
  • The approach yields established equation-of-motion many-body perturbation theory (EOM-MBPT) equations.
  • Two new EOM-CC methods were derived utilizing LCCD and LCCSD wavefunctions.

Main Results:

  • The proposed methods were tested on 25 small organic molecules.
  • Excellent agreement was observed with canonical EOM-CC singles and doubles (EOM-CCSD) for state ordering and relative excitation energies.
  • Acceptable quantitative agreement was achieved for absolute excitation energies compared to experimental and best-estimate data.

Conclusions:

  • The new perturbative EOM-CC methods provide accurate excited-state properties for organic molecules.
  • These methods offer a promising balance between accuracy and computational cost.
  • The findings contribute to the advancement of theoretical tools for spectroscopic predictions.