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Partially linearized external models to active-space coupled-cluster through connected hextuple excitations.

Enhua Xu1, Seiichiro L Ten-No1

  • 1Graduate School of System Informatics, Kobe University, Kobe, 657-8501, Japan.

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|January 23, 2018
PubMed
Summary
This summary is machine-generated.

Partially linearized coupled-cluster models, including CCSD(tqph)hyb, offer accurate and computationally cheaper alternatives to full active-space calculations for molecular systems. These methods effectively study bond dissociation energies and potential energy surfaces.

Keywords:
active spacecoupled-clustermultireference

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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.
  • Full active-space calculations can be computationally prohibitive.
  • Approximations are needed to reduce the cost of high-level CC methods.

Purpose of the Study:

  • To implement and compare partially linearized external models for active-space coupled-cluster.
  • To evaluate the accuracy and computational efficiency of these approximate models.
  • To investigate molecular properties like bond dissociation energies and potential energy surfaces.

Main Methods:

  • Implementation of partially linearized external models: CC(SDtqph)L, CCSD(tqph)L, and CCSD(tqph)hyb.
  • Comparison with the full active-space CCSD(tqph) model.
  • Application to diatomic molecules (HF, F2, CuH, CuF) and potential energy surfaces (HF, CuH, H2O, C2H4).

Main Results:

  • The computational scaling of CCSD(tqph) is similar to CCSD but with a larger prefactor.
  • Approximate linearization schemes are significantly cheaper than full CCSD(tqph).
  • CCSD(tqph)hyb demonstrates highly accurate results comparable to the full CCSD(tqph) model across all tested systems.

Conclusions:

  • Partially linearized external models provide a computationally feasible approach to high-level coupled-cluster theory.
  • The CCSD(tqph)hyb model offers an excellent balance between accuracy and computational cost.
  • These methods are valuable tools for studying chemical reaction pathways and molecular energetics.