Generative adversarial reduced order modelling

Generative adversarial reduced order modelling

Abstract In this work, we present GAROM, a new approach for reduced order modeling (ROM) based on generative adversarial networks (GANs). GANs attempt to learn to generate data with the same statistics of the underlying distribution of a dataset, using two neural networks, namely discriminator and g...

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Bibliographic Details
Main Authors:	Dario Coscia, Nicola Demo, Gianluigi Rozza
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-02-01
Series:	Scientific Reports
Online Access:	https://doi.org/10.1038/s41598-024-54067-z

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