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Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85195046290
WOS Core Collection: WOS:001255292700001

Interne Identnummern
RWTH-2024-05617
Datensatz-ID: 987353

Beteiligte Länder
Germany, USA

Lizenzstatus der Zeitschrift

 GO


Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;  ;  ;  ;
Theory and implementation of inelastic Constitutive Artificial Neural Networks
54 Seiten () [10.48550/ARXIV.2311.06380]  GO arXiv   Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS


Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Faculty of Civil Engineering (Fac.3)
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311510

TypAmountVATCurrencyShareStatusCost centre
Other100.007.00EUR4.22 %(DEAL)021000-311510
Hybrid-OA2270.80158.96EUR95.78 %(DEAL)021000-311510
Sum2370.80165.96EUR   
Total2536.76     
 Record created 2024-06-05, last modified 2025-10-01


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