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
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

Identifiants

pubmed: 34846412
doi: 10.1039/d1nr06435e
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

10-18

Auteurs

André Colliard-Granero (A)

Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. m.eslamibidgoli@fz-juelich.de.
Department of Chemistry, University of Cologne, Greinstr. 4-6, 50939 Cologne, Germany.

Mariah Batool (M)

Department of Materials Science and Engineering, University of Connecticut, 97 North Eagleville Road, Unit 3136, Storrs, CT 06269-3136, USA.

Jasna Jankovic (J)

Department of Materials Science and Engineering, University of Connecticut, 97 North Eagleville Road, Unit 3136, Storrs, CT 06269-3136, USA.

Jenia Jitsev (J)

Julich Supercomputing Center, Forschungszentrum Jülich, 52425 Jülich, Germany.

Michael H Eikerling (MH)

Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. m.eslamibidgoli@fz-juelich.de.
Chair of Theory and Computation of Energy Materials, Faculty of Georesources and Materials Engineering, RWTH Aachen University, Aachen 52062, Germany.

Kourosh Malek (K)

Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. m.eslamibidgoli@fz-juelich.de.
Centre for Advanced Simulation and Analytics (CASA), Simulation and Data Science Lab for Energy Materials (SDL-EM), Forschungszentrum Jülich GmbH, 52425 Jülich, Germany.

Mohammad J Eslamibidgoli (MJ)

Theory and Computation of Energy Materials (IEK-13), Institute of Energy and Climate Research, Forschungszentrum Jülich GmbH, 52425 Jülich, Germany. m.eslamibidgoli@fz-juelich.de.

Classifications MeSH