A DeepONet multi-fidelity approach for residual learning in reduced order modeling

Nicola Demo, Marco Tezzele, Gianluigi Rozza

In the present work, we introduce a novel approach to enhance the precision of reduced order models by exploiting a multi-fidelity perspective and DeepONets. Reduced models provide…