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September 17, 2025The Journal of Chemical Physics2 citationsOpen Access

Benchmarking distinguishable cluster methods to platinum standard CCSDT(Q) non-covalent interaction energies in the A24 dataset

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SLStephanie LambieCRCorry RickertDUDenis Usvyat

Key Points

  • The SVD-DC-CCSDT method demonstrated remarkable accuracy, outperforming conventional CCSDT and CCSD(T) methods for non-covalent interaction energies.
  • In evaluations against the benchmark CCSDT(Q) correlation energies, distinguishable cluster methods yielded better fidelity for calculations involving the A24 dataset.
  • This research highlights the potential of low-cost methods to overcome computational limitations previously faced in quantum chemistry.
  • Methodological advancements are crucial for extending capabilities in calculating complex non-covalent interactions at lower computational costs.

Abstract

Recent disagreement between state-of-the-art quantum chemical methods, coupled cluster with single, double, and perturbative triples excitations and fixed-node diffusion Monte Carlo, calls for a systematic examination of possible sources of error within both methodological approaches. Coupled cluster (CC) theory is systematically improvable toward the exact solution of the Schrödinger equation; however, it is very quickly limited by the computational cost of the calculation. Therefore, it has become imperative to develop low-cost methods that are able to reproduce CC results beyond the CC theory with single, double, and perturbative triples CCSD(T) level of theory. Here, the distinguishable cluster (DC)-CCSDT and singular value decomposed (SVD)-DC-CCSDT methods are examined for their fidelity to the CCSDT(Q) correlation interaction energies for the A24 dataset and are shown to outperform CCSDT and CCSD(T). Furthermore, with (T)-based corrections of the SVD approximation, the SVD-DC-CCSDT method becomes an accurate and relatively low-cost tool for the calculation of previously intractable post-CCSD(T) energies in atomic orbital basis sets of unprecedented size.

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Cite This Study

Lambie et al. (2025) studied this question.

synapsesocial.com/papers/68d45b3431b076d99fa5dd73https://doi.org/10.1063/5.0280601
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Also Consider

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