most citedNon-intrusive Surrogate Modeling for Parametrized Time-dependent PDEs using Convolutional Autoencoders

9 citations · 9 across the 1 of their papers we have counts for

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1 paper

math.NA2021★ 9 cited

Non-intrusive Surrogate Modeling for Parametrized Time-dependent PDEs using Convolutional Autoencoders

Stefanos Nikolopoulos, Ioannis Kalogeris, Vissarion Papadopoulos

This work presents a non-intrusive surrogate modeling scheme based on machine learning technology for predictive modeling of complex systems, described by parametrized time-depende…