Deep learning for the automation of particle analysis in catalyst layers for polymer electrolyte fuel cells.
Journal
Nanoscale
ISSN: 2040-3372
Titre abrégé: Nanoscale
Pays: England
ID NLM: 101525249
Informations de publication
Date de publication:
23 Dec 2021
23 Dec 2021
Historique:
pubmed:
1
12
2021
medline:
1
12
2021
entrez:
30
11
2021
Statut:
epublish
Résumé
The rapidly growing use of imaging infrastructure in the energy materials domain drives significant data accumulation in terms of their amount and complexity. The applications of routine techniques for image processing in materials research are often
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM