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On latent dynamics learning in nonlinear reduced order modeling
In this work, we present the novel mathematical framework of latent dynamics models (LDMs) for reduced order modeling of parameterized …
Nicola Farenga
,
Stefania Fresca
,
Simone Brivio
,
Andrea Manzoni
PDF
PTPI-DL-ROMs: pre-trained physics-informed deep learning-based reduced order models for nonlinear parametrized PDEs
Among several recently proposed data-driven Reduced Order Models (ROMs), the coupling of Proper Orthogonal Decomposition (POD) and deep …
Simone Brivio
,
Stefania Fresca
,
Andrea Manzoni
PDF
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