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Convolutional neural networks for high throughput screening of catalyst layer inks for polymer electrolyte fuel cells

; ; ; ; ;

In
RSC Advances 11(51), Seiten/Artikel-Nr.:32126-32134

ImpressumLondon : RSC Publishing

ISSN2046-2069

Online
DOI: 10.1039/D1RA05324H

DOI: 10.18154/RWTH-2021-12097
URL: https://publications.rwth-aachen.de/record/837542/files/837542.pdf

Einrichtungen

  1. Lehrstuhl für Theorie und computergestützte Modellierung von Energiematerialien (526810)
  2. Fachgruppe für Materialwissenschaft und Werkstofftechnik (520000)


Thematische Einordnung (Klassifikation)
DDC: 540

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85120066813
WOS Core Collection: WOS:000716076100001

Interne Identnummern
RWTH-2021-12097
Datensatz-ID: 837542

Beteiligte Länder
Germany, USA

Lizenzstatus der Zeitschrift

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Medline ; Creative Commons Attribution-NonCommercial CC BY-NC 3.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; National-Konsortium ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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526810
520000
 Record created 2021-12-27, last modified 2025-11-24
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