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Slim multi-scale convolutional autoencoder-based reduced-order models for interpretable features of a complex dynamical system

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Teutsch, Philipp, Pfeffer, Philipp, Ghazijahani, Mohammad Sharifi, Cierpka, Christian, Schumacher, Jörg, Mäder, Patrick
Format:	Preprint
Publié:	2025
Sujets:	Fluid Dynamics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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