Diffusion Monte Carlo interaction energies for the full S66 dataset reveal systematic deviations from CCSD(T) that correlate with the ratio of electrostatic to dispersion contributions.
Another Angle on Benchmarking Noncovalent Interactions
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abstract
For noncovalent interactions (NCIs), the CCSD(T) coupled cluster method is widely regarded as the `gold standard'. With localized orbital approximations, benchmarks for ever larger NCI complexes are being published; yet tantalizing evidence from quantum Monte Carlo (QMC) results appears to indicate that as the system size grows, CCSD(T) overbinds NCIs by progressively larger amounts, particularly when $\pi$-stacking is involved. Alas, post-CCSD(T) methods like CCSDT(Q) are cost-prohibitive, which requires us to consider alternative means of estimating post-CCSD(T) contributions. In this work, we take a step back by considering the evolution of the correlation energy with respect to the number of subunits for such $\pi$-stacked sequences as acene dimers and alkadiene dimers. We show it to be almost perfectly linear, and propose the slope of the line as a probe for the behavior of a given electron correlation method. By comparison with rank-reduced CCSDT(Q) results for benzene and naphthalene dimers, we show that while CCSD(T) does slightly overbind, it does not at the level suggested by the QMC results.
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physics.chem-ph 1years
2024 1verdicts
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Systematic discrepancies between reference methods for non-covalent interactions within the S66 dataset
Diffusion Monte Carlo interaction energies for the full S66 dataset reveal systematic deviations from CCSD(T) that correlate with the ratio of electrostatic to dispersion contributions.