Reducing the computational cost of NMR crystallography of organic powders at natural isotopic abundance with the help of

13C NMR crystal structure prediction crystallography dipolar coupling dynamic nuclear polarization natural abundance

Journal

Magnetic resonance in chemistry : MRC
ISSN: 1097-458X
Titre abrégé: Magn Reson Chem
Pays: England
ID NLM: 9882600

Informations de publication

Date de publication:
05 2019
Historique:
received: 01 10 2018
revised: 22 01 2019
accepted: 02 02 2019
pubmed: 9 2 2019
medline: 9 2 2019
entrez: 9 2 2019
Statut: ppublish

Résumé

Structure determination of functional organic compounds remains a formidable challenge when the sample exists as a powder. Nuclear magnetic resonance crystallography approaches based on the comparison of experimental and Density Functional Theory (DFT)-computed

Identifiants

pubmed: 30735578
doi: 10.1002/mrc.4848
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

256-264

Subventions

Organisme : Engineering and Physical Sciences Research Council
ID : EP/M022501/1
Pays : International
Organisme : H2020 European Research Council
ID : 758498
Pays : International

Informations de copyright

© 2019 John Wiley & Sons, Ltd.

Auteurs

Pierre Thureau (P)

Aix Marseille Univ, CNRS, ICR, Marseille, France.

Simone Sturniolo (S)

Scientific Computing Department, Rutherford Appleton Laboratory, Chilton, Didcot, UK.

Miri Zilka (M)

Department of Physics, University of Warwick, Coventry, UK.

Fabio Ziarelli (F)

Aix Marseille Univ, CNRS, Centrale Marseille, FSCM FR1739, Marseille, France.

Stéphane Viel (S)

Aix Marseille Univ, CNRS, ICR, Marseille, France.
Institut Universitaire de France, Paris, France.

Jonathan R Yates (JR)

Department of Materials, University of Oxford, Oxford, UK.

Giulia Mollica (G)

Aix Marseille Univ, CNRS, ICR, Marseille, France.

Classifications MeSH