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Best-Practice DFT Protocols for Basic Molecular Computational Chemistry

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Specialty Chemistry
Date 2022 Sep 14
PMID 36103607
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Abstract

Nowadays, many chemical investigations are supported by routine calculations of molecular structures, reaction energies, barrier heights, and spectroscopic properties. The lion's share of these quantum-chemical calculations applies density functional theory (DFT) evaluated in atomic-orbital basis sets. This work provides best-practice guidance on the numerous methodological and technical aspects of DFT calculations in three parts: Firstly, we set the stage and introduce a step-by-step decision tree to choose a computational protocol that models the experiment as closely as possible. Secondly, we present a recommendation matrix to guide the choice of functional and basis set depending on the task at hand. A particular focus is on achieving an optimal balance between accuracy, robustness, and efficiency through multi-level approaches. Finally, we discuss selected representative examples to illustrate the recommended protocols and the effect of methodological choices.

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References
1.
Kalita B, Li L, McCarty R, Burke K . Learning to Approximate Density Functionals. Acc Chem Res. 2021; 54(4):818-826. DOI: 10.1021/acs.accounts.0c00742. View

2.
Pracht P, Grimme S . Calculation of absolute molecular entropies and heat capacities made simple. Chem Sci. 2021; 12(19):6551-6568. PMC: 8139639. DOI: 10.1039/d1sc00621e. View

3.
Vuckovic S, Burke K . Quantifying and Understanding Errors in Molecular Geometries. J Phys Chem Lett. 2020; 11(22):9957-9964. DOI: 10.1021/acs.jpclett.0c03034. View

4.
Korth M, Grimme S . "Mindless" DFT Benchmarking. J Chem Theory Comput. 2015; 5(4):993-1003. DOI: 10.1021/ct800511q. View

5.
Chai J, Head-Gordon M . Long-range corrected double-hybrid density functionals. J Chem Phys. 2009; 131(17):174105. DOI: 10.1063/1.3244209. View