A Machine Learning Enabled Image‐data‐driven End‐to‐end Mechanical Field Predictor For Dual‐Phase Steel

Lin, Binbin; Xu, Bai-Xiang; Medghalchi, Setareh; Korte-Kerzel, Sandra

doi:1617-7061

A Machine Learning Enabled Image‐data‐driven End‐to‐end Mechanical Field Predictor For Dual‐Phase Steel

Lin, Binbin (Corresponding author) ; Medghalchi, Setareh^RWTH* ; Korte-Kerzel, Sandra^RWTH* ; Xu, Bai-Xiang

In
Special Issue: 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) / Issue Edited by: Ch. Böhm, K. Mang, B. Markert, S. Reese, M. Schmidtchen, J. Waimann, M. Kaliske

In
Proceedings in applied mathematics and mechanics : PAMM 22(1), Seiten/Artikel-Nr.:e202200110

2023

Konferenz/Event:92. Annual Meeting of the International Association of Applied Mathematics and Mechanics , Aachen , Germany , GAMM 2022 , 2022-08-15 - 2022-08-19

ImpressumWeinheim : Wiley-VCH

Umfang1-6

ISSN1617-7061

Online
DOI: 10.18154/RWTH-2023-03269
DOI: 10.1002/pamm.202200110
10.1002/pamm.202200110
URL: https://publications.rwth-aachen.de/record/954586/files/954586.pdf

Einrichtungen

Thematische Einordnung (Klassifikation)
DDC: 510

OpenAccess:
PDF

Dokumenttyp
Journal Article/Contribution to a conference proceedings

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Interne Identnummern
RWTH-2023-03269
Datensatz-ID: 954586

Beteiligte Länder
Germany

Related:

Dissertation / PhD Thesis Medghalchi, S.RWTH* ; Korte-Kerzel, S. (Thesis advisor)RWTH* ; Münstermann, S. (Thesis advisor)RWTH*
Investigation of damage sites in dual phase microstructures by artificial intelligence
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2024) [10.18154/RWTH-2024-06967]2024 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024, Kumulative Dissertation OpenAccess Files BibTeX | EndNote: XML, Text | RIS