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High-speed 3d printing coupled with machine learning to accelerate alloy development for additive manufacturing

; ; ; ; ; ; ;

In
Advanced science 12(17), Seiten/Artikel-Nr.:2414880

ImpressumWeinheim : Wiley-VCH

Umfang1-15

ISSN2198-3844

Hefttitel: Hot Topic: Automated Synthesis

Online
DOI: 10.18154/RWTH-2025-03141
DOI: 10.1002/advs.202414880

URL: https://publications.rwth-aachen.de/record/1008767/files/1008767.pdf

Einrichtungen

  1. Lehrstuhl für Digitale Additive Produktion (421510)
  2. Lehrstuhl für Werkstofftechnik der Metalle und Institut für Eisenhüttenkunde (522110)
  3. Fachgruppe Materialwissenschaft und Werkstofftechnik (520000)


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-s2.0-86000753667
WOS Core Collection: WOS:0014389734

Interne Identnummern
RWTH-2025-03141
Datensatz-ID: 1008767

Beteiligte Länder
Germany, USA

 GO

Medline ; Creative Commons Attribution CC BY 4.0 ; DOAJ ; OpenAccess ; Article Processing Charges ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DEAL Wiley ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF >= 15 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Georesources and Materials Engineering (Fac.5) > Division of Materials Science and Engineering
Faculty of Mechanical Engineering (Fac.4)
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421510
522110
520000
 Record created 2025-03-24, last modified 2025-08-15
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