Best‐Practice DFT Protocols for Basic Molecular Computational Chemistry
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 bas...
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| Veröffentlicht in: | Angewandte Chemie International Edition Jg. 61; H. 42; S. e202205735 - n/a |
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| Hauptverfasser: | , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Germany
Wiley Subscription Services, Inc
17.10.2022
John Wiley and Sons Inc |
| Ausgabe: | International ed. in English |
| Schlagworte: | |
| ISSN: | 1433-7851, 1521-3773, 1521-3773 |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | 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.
Many chemical investigations are supported by routine calculations of molecular structures, reaction energies, barrier heights, and spectroscopic properties. Most of these quantum‐chemical calculations apply various combinations of DFT‐based methods. This Scientific Perspective provides best‐practice protocols and guidance in the choice of robust method combinations to deal with many day‐to‐day challenges in computational chemistry and discusses representative examples. |
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| Bibliographie: | . https://doi.org/10.26434/chemrxiv‐2022‐n304h A previous version of this manuscript has been deposited on a preprint server ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 A previous version of this manuscript has been deposited on a preprint server (https://doi.org/10.26434/chemrxiv‐2022‐n304h). |
| ISSN: | 1433-7851 1521-3773 1521-3773 |
| DOI: | 10.1002/anie.202205735 |