H <sub>2</sub> X100: A Gold-Standard CCSD(T)/CBS Benchmark Dataset of Binding Energies, Structures, and Harmonic Frequencies for (H <sub>2</sub> X) <i> <sub>n</sub> </i> , X = S, Se, Te, <i>n</i> = 2–4, and Assessment of Lower-Scaling Density Functio

We constructed a benchmark dataset (H2X100) of 100 CCSD(T)/Complete Basis Set (CBS) binding energies for the (H2X)n, X = S, Se, Te, n = 2–4 clusters, and additional CCSD(T)-quality structures and harmonic vibrational frequencies for 12 unique homodimer minima, containing a mix of the hydrogen and chalcogen bonding motifs. Using the new H2X100 dataset, we assessed the performance of 17 density functionals across the rungs of Jacob’s ladder, with and without dispersion corrections, spanning the GGA, mGGA, GH-GGA, GH-mGGA, RSH-GGA, and RSH-mGGA groupings. The r2SCAN-D4, B97M-rV, and ωB97M-V functionals provide the best agreement with the CCSD(T) benchmarks and can be used in studies of larger ensembles of these systems, including simulations of their condensed phases.

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Publication Details

Journal
Journal of Chemical Theory and Computation
Published
2026-05-29
DOI
https://doi.org/10.1021/acs.jctc.6c00405
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00

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article

H 2 X100: A Gold-Standard CCSD(T)/CBS Benchmark Dataset of Binding Energies, Structures, and Harmonic Frequencies for (H 2 X) n , X = S, Se, Te, n = 2–4, and Assessment of Lower-Scaling Density Functio

Sotiris S. Xantheas, M. E. Hoffman
Journal of Chemical Theory and Computation
Machine Learning in Materials Science
article

H 2 X100: A Gold-Standard CCSD(T)/CBS Benchmark Dataset of Binding Energies, Structures, and Harmonic Frequencies for (H 2 X) n , X = S, Se, Te, n = 2–4, and Assessment of Lower-Scaling Density Functio

Sotiris S. Xantheas, M. E. Hoffman
article en

Abstract

We constructed a benchmark dataset (H2X100) of 100 CCSD(T)/Complete Basis Set (CBS) binding energies for the (H2X)n, X = S, Se, Te, n = 2–4 clusters, and additional CCSD(T)-quality structures and harmonic vibrational frequencies for 12 unique homodimer minima, containing a mix of the hydrogen and chalcogen bonding motifs. Using the new H2X100 dataset, we assessed the performance of 17 density functionals across the rungs of Jacob’s ladder, with and without dispersion corrections, spanning the GGA, mGGA, GH-GGA, GH-mGGA, RSH-GGA, and RSH-mGGA groupings. The r2SCAN-D4, B97M-rV, and ωB97M-V functionals provide the best agreement with the CCSD(T) benchmarks and can be used in studies of larger ensembles of these systems, including simulations of their condensed phases.

Journal of Chemical Theory and Computation
Battelle (US), Pacific Northwest National Laboratory (US), University of Washington (US), Computational Physics (United States) (US)
Basic Energy Sciences
Affordable and clean energy
Openalex Percentile: Top 12%
Machine Learning in Materials Science
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