Evidence map›Paper›PMID 33136388›Full record

ArticleJournal of chemical theory and computation2020

Halogen Bond of Halonium Ions: Benchmarking DFT Methods for the Description of NMR Chemical Shifts.

Daniel Sethio, Gerardo Raggi, Roland Lindh, Máté Erdélyi

Abstract read
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Article in Journal of chemical theory and computation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

8 citing papers in PubMed.

  1. Article
  2. Spectroscopic Implications for [N-X-N]Inorganic chemistry · 2025
    Article
  3. Article
  4. Stabilisation of Bromenium Ions in Macrocyclic Halogen Bond Complexes.Angewandte Chemie (International ed. in English) · 2025
    Article
  5. Article
  6. Halogen Bonds of Halogen(I) Ions─Where Are We and Where to Go?Journal of the American Chemical Society · 2024
    Review
  7. Simulation Reveals the Chameleonic Behavior of Macrocycles.Journal of chemical information and modeling · 2023
    Article
  8. Article
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.

Daniel SethioDepartment of Chemistry-BMC, Uppsala University, Box 576, 751 23 Uppsala, Sweden.ORCID http://orcid.org/0000-0002-8075-1482
Gerardo RaggiDepartment of Chemistry-BMC, Uppsala University, Box 576, 751 23 Uppsala, Sweden.
Roland LindhDepartment of Chemistry-BMC, Uppsala University, Box 576, 751 23 Uppsala, Sweden.ORCID http://orcid.org/0000-0001-7567-8295
Máté ErdélyiDepartment of Chemistry-BMC, Uppsala University, Box 576, 751 23 Uppsala, Sweden.ORCID http://orcid.org/0000-0003-0359-5970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of their anisotropic electron distribution and electron deficiency, halonium ions are unusually strong halogen-bond donors that form strong and directional three-center, four-electron halogen bonds. These halogen bonds have received considerable attention owing to their applicability in supramolecular and synthetic chemistry and have been intensely studied using spectroscopic and crystallographic techniques over the past decade. Their computational treatment faces different challenges to those of conventional weak and neutral halogen bonds. Literature studies have used a variety of wave functions and DFT functionals for prediction of their geometries and NMR chemical shifts, however, without any systematic evaluation of the accuracy of these methods being available. In order to provide guidance for future studies, we present the assessment of the accuracy of 12 common DFT functionals along with the Hartree-Fock (HF) and the second-order Møller-Plesset perturbation theory (MP2) methods, selected from an initial set of 36 prescreened functionals, for the prediction of

Identifiers

PMID33136388
PMCPMC7726912

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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.