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FFT-based surrogate modeling of auxetic metamaterials with real-time prediction of effective elastic properties and swift inverse design
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In
Artificial Intelligence-Enabled Material Innovations / edited by Assoc. Professor Enrico Salvati (University of Udine, Udine, , Italy), Assist. Prof. Edoardo Rossi (Roma Tre University, Roma, , Italy), Professor Alexander M. Korsunsky (University of Oxford Department of Engineering Science, Oxford, , United Kingdom)
In
Materials & Design 248, Seiten/Artikel-Nr.:113491
2024
Online
DOI: 10.1016/j.matdes.2024.113491
DOI: 10.18154/RWTH-2024-11396
URL: https://publications.rwth-aachen.de/record/998449/files/998449.pdf
Einrichtungen
Projekte
- OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)
- XS-Meta - Cross-scale concurrent material-structure design using functionally-graded 3D-printed matematerials. (956401) (956401)
Thematische Einordnung (Klassifikation)
DDC: 690
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85210636454
WOS Core Collection: WOS:001372985900001
Interne Identnummern
RWTH-2024-11396
Datensatz-ID: 998449
Beteiligte Länder
France, Germany, Singapore
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The record appears in these collections: |
| Typ | Amount | VAT | Currency | Share | Status | Cost centre |
| APC | 2079.00 | 145.53 | EUR | 95.41 % | (DEAL) | 021000-311510 |
| Other | 100.00 | 19.00 | EUR | 4.59 % | (DEAL) | 021000-311510 |
| Sum | 2179.00 | 164.53 | EUR | |||
| Total | 2343.53 |
PDF