Evidence map›Paper›PMID 36103607›Full record

ReviewAngewandte Chemie (International ed. in English)2022

Best-Practice DFT Protocols for Basic Molecular Computational Chemistry.

Markus Bursch, Jan-Michael Mewes, Andreas Hansen, Stefan Grimme

Open access · greenAbstract readReview
In one paragraph

Review in Angewandte Chemie (International ed. in English), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 273 papers.

0numbers the graph read from it
0cells of the map it votes in
273citing papers in PubMed
200.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

273 citing papers in PubMed, 765 citations in OpenAlex.

  1. Article
  2. Directional Second Sphere Effect on COAngewandte Chemie (International ed. in English) · 2026
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  7. Biosynthesis of the Fully Saturated CAngewandte Chemie (International ed. in English) · 2026
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  11. Review
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213 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Markus BurschMax-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470, Mülheim an der Ruhr, Germany.ORCID http://orcid.org/0000-0001-6711-5804
Jan-Michael MewesMulliken Center for Theoretical Chemistry, Institut für Physikalische und Theoretische Chemie, Universität Bonn, Beringstraße 4, 53115, Bonn, Germany.ORCID http://orcid.org/0000-0002-4669-8091
Andreas HansenMulliken Center for Theoretical Chemistry, Institut für Physikalische und Theoretische Chemie, Universität Bonn, Beringstraße 4, 53115, Bonn, Germany.ORCID http://orcid.org/0000-0003-1659-8206
Stefan GrimmeMulliken Center for Theoretical Chemistry, Institut für Physikalische und Theoretische Chemie, Universität Bonn, Beringstraße 4, 53115, Bonn, Germany.ORCID http://orcid.org/0000-0002-5844-4371
University of Bonn · DEMax-Planck-Institut für Kohlenforschung · DE

Funding

German Science Foundation (DFG) Gottfried Wilheln Leibniz prizeGerman Science Foundation (DFG) SPP 2363 "Utilization and Development of Machine Learning for Molecular Applications----Molecular Machine Learning"Max Planck Society Max Planck Fellow Program
6 · The paper itself

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.

Indexed as

Computational ChemistryDensity Functional Calculations

Identifiers

PMID36103607
PMCPMC9826355
OpenAlexW4295779282

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.