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Opportunities for large language models and discourse in engineering design

; ; ;

In
Energy and AI 17, Seiten/Artikel-Nr.:100383

ImpressumAmsterdam : Elsevier ScienceDirect

Umfang[1]-7

ISSN2666-5468

Online
DOI: 10.18154/RWTH-2024-06589
DOI: 10.1016/j.egyai.2024.100383

URL: https://publications.rwth-aachen.de/record/989122/files/989122.pdf

Einrichtungen

  1. Lehrstuhl für Brennstoffzellen (FZ Jülich) (413010)
  2. Competence Center Power to Fuel (080030)

Projekte

  1. DFG project G:(GEPRIS)442146713 - NFDI4ING – Nationale Forschungsdateninfrastruktur für die Ingenieurwissenschaften (442146713) (442146713)
  2. NFDI4ING Ellen - Extensive and heterogeneous data requirements (442146713-ELLEN) (442146713-ELLEN)

Thematische Einordnung (Klassifikation)
DDC: 624

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85196324183
WOS Core Collection: WOS:001259171800001

Interne Identnummern
RWTH-2024-06589
Datensatz-ID: 989122

Beteiligte Länder
Germany

Lizenzstatus der Zeitschrift

 GO

Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; DOAJ Seal ; Fees ; SCOPUS
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413010
080030
 Record created 2024-07-15, last modified 2026-03-03
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