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Implementation of the locally renormalized CCSD(T) approaches for arbitrary reference function.

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New locally-renormalized coupled-cluster (LR-CCSD(T)) methods accurately describe molecular potential-energy surfaces and properties. These computationally efficient approaches maintain N(7) scaling, offering a robust tool for quantum chemistry calculations.

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Area of Science:

  • Quantum Chemistry
  • Computational Chemistry
  • Theoretical Chemistry

Background:

  • Coupled-cluster (CC) methods are essential for accurate electronic structure calculations.
  • Existing methods like completely renormalized CCSD(T) (CR-CCSD(T)) have limitations in certain scenarios.
  • The numerator-denominator-connected (NDC) expansion provides a foundation for new CC approaches.

Purpose of the Study:

  • To formulate and implement new variants of locally-renormalized coupled-cluster (LR-CCSD(T)) methods.
  • To enable these methods for arbitrary reference states using automated code generation.
  • To assess the accuracy and efficiency of LR-CCSD(T) for describing molecular potential-energy surfaces and properties.

Main Methods:

  • Development of locally-renormalized coupled-cluster (LR-CCSD(T)) approximations based on the NDC expansion.
  • Implementation using the TENSOR CONTRACTION ENGINE for automatic, efficient parallel code generation.
  • Application to challenging molecular systems (F2, N2, CN, O3) to evaluate potential-energy surfaces and equilibrium properties.

Main Results:

  • The new LR-CCSD(T) approaches provide highly accurate descriptions of potential-energy surfaces, even for bond breaking.
  • These methods maintain the favorable N(7) computational scaling of the standard CCSD(T) approach.
  • Accurate predictions of equilibrium properties like bond lengths, angles, and harmonic frequencies were achieved for ozone.

Conclusions:

  • LR-CCSD(T) methods offer a powerful and accurate tool for quantum chemistry, particularly for describing challenging electronic structures.
  • The use of local denominators ensures additive separability in the noninteracting limit.
  • These methods represent a significant advancement in computational chemistry for predicting molecular behavior.