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20192026
most citedThermodynamics-informed super-resolution of scarce temporal dynamics data

9 citations · 12 across the 7 of their papers we have counts for

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math.NA2023★ 2 cited

A graph convolutional autoencoder approach to model order reduction for parametrized PDEs

Federico Pichi, Beatriz Moya, Jan S. Hesthaven

The present work proposes a framework for nonlinear model order reduction based on a Graph Convolutional Autoencoder (GCA-ROM). In the reduced order modeling (ROM) context, one is…