Modelling NMR spectroscopy of oxide glasses with machine learning - CEA - Commissariat à l’énergie atomique et aux énergies alternatives Access content directly
Conference Papers Year :

Modelling NMR spectroscopy of oxide glasses with machine learning

Domains

Material chemistry
Fichier principal
Vignette du fichier
Charpentier_GdR_IAMAT_2022.pdf (56.7 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Serge Palacin  : Connect in order to contact the contributor

https://hal-cea.archives-ouvertes.fr/cea-03687152

Submitted on : Friday, June 3, 2022-10:10:32 AM

Last modification on : Friday, March 24, 2023-2:53:27 PM

Long-term archiving on: Sunday, September 4, 2022-6:28:25 PM

Download

Dates and versions

cea-03687152 , version 1 (03-06-2022)

Identifiers

  • HAL Id : cea-03687152 , version 1

Cite

Thibault Charpentier. Modelling NMR spectroscopy of oxide glasses with machine learning. 1ères Journées GDR IAMAT, May 2022, Paris, France. ⟨cea-03687152⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CEA CNRS PUBNIMBE INC-CNRS IRAMIS-NIMBE CEA-UPSAY UNIV-PARIS-SACLAY GS-ENGINEERING IRAMIS GS-CHIMIE GS-PHYSIQUE INSTITUT-SCIENCES-LUMIERE
22 View
10 Download

Share

Gmail Facebook Twitter LinkedIn More