NMR shifts in aluminosilicate glasses via machine learning-Reference-Cited by-同舟云学术

NMR shifts in aluminosilicate glasses via machine learning

Published:2019 Issue:39 Volume:21 Page:21709-21725
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Chaker Ziyad¹²³⁴⁵^ORCID,Salanne Mathieu⁶⁷²³⁸,Delaye Jean-Marc²⁹¹⁰¹¹¹²,Charpentier Thibault¹²³⁴⁵^ORCID

Affiliation:

1. NIMBE

2. CEA

3. CNRS

4. Université Paris-Saclay

5. F-91191 Gif-sur-Yvette Cedex

6. Maison de la Simulation

7. USR 3441

8. INRIA

9. DEN

10. Service d'études de vitrification et procédés hautes températures

11. 30207 Bagnols-sur-Cèze

12. France

Abstract

Machine learning (ML) approaches are investigated for the prediction of nuclear magnetic resonance (NMR) shifts in aluminosilicate glasses, for which NMR has proven to be a cutting-edge method over the last decade.

Funder

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2019/CP/C9CP02803J

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