Skip to main content
Fig. 13 | Advanced Modeling and Simulation in Engineering Sciences

Fig. 13

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

Fig. 13

Predictions at two different test parameters using gappy POD, DeepONet, and multi-fidelity DeepONet with different configurations, varying the number of epochs and the POD energy threshold. The left column shows the results for \(\mu = [4, 8]\), while in the right one we have \(\mu = [3, 16]\). Top row: POD energy threshold equal to 0.99, 10,000 epochs. Center row: POD energy threshold equal to 0.999, 50,000 epochs. Bottom row: POD energy threshold equal to 0.9999, 50,000 epochs

Back to article page