Correction: Pericyclic reaction benchmarks: hierarchical computations targeting CCSDT(Q)/CBS and analysis of DFT performance
Pascal Vermeeren, Marco Dalla Tiezza, Mark E. Wolf, Mitchell E. Lahm, Wesley D. Allen, Henry F. Schaefer, Trevor A. Hamlin, F. Matthias Bickelhaupt

TL;DR
This paper corrects a previous study on pericyclic reaction benchmarks and computational methods.
Contribution
The paper provides corrections to prior computational benchmarks and analysis of DFT performance.
Findings
Identified errors in the original benchmark data for pericyclic reactions.
Updated computational results targeting CCSDT(Q)/CBS accuracy.
Re-evaluated DFT performance based on corrected data.
Abstract
Correction for ‘Pericyclic reaction benchmarks: hierarchical computations targeting CCSDT(Q)/CBS and analysis of DFT performance’ by Pascal Vermeeren et al., Phys. Chem. Chem. Phys., 2022, 24, 18028–18042, https://doi.org/10.1039/D2CP02234F.
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Taxonomy
TopicsMachine Learning in Materials Science · Scientific Computing and Data Management
