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A Spectral-based Physics-informed Finite Operator Learning for Prediction of Mechanical Behavior of Microstructures
; ; ; ;
2024
Online
DOI: 10.48550/arxiv.2410.19027
Einrichtungen
Projekte
- DFG project G:(GEPRIS)453596084 - TRR 339: Digitaler Zwilling Straße – Physikalisch-informatorische Abbildung des Systems „Straße der Zukunft“ (453596084) (453596084)
- XS-Meta - Cross-scale concurrent material-structure design using functionally-graded 3D-printed matematerials. (956401) (956401)
Inhaltliche Beschreibung (Schlagwörter)
Computational Engineering, Finance, and Science (cs.CE) (Genormte SW) ; Computational Physics (physics.comp-ph) (Genormte SW) ; FOS: Computer and information sciences (Genormte SW) ; FOS: Physical sciences (Genormte SW) ; Materials Science (cond-mat.mtrl-sci) (Genormte SW) ; Fourier neural operators (frei) ; Neural Operators (frei) ; Physics-informed neural operator (frei) ; physics-informed neural networks (frei)
Externer link: 
Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2410.19027
Interne Identnummern
RWTH-2024-10640
Datensatz-ID: 996493
Beteiligte Länder
Germany
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Fulltext by arXiv.org