Fig. 4From: A DeepONet multi-fidelity approach for residual learning in reduced order modelingComparison between POD (0.999 energy threshold), DeepONet, and multi-fidelity DeepONet. From top to bottom, we have the relative error in the parametric domain, the location of the high-fidelity samples in the parametric domain, the relative error distribution, and the best performersBack to article page