Bi-fidelity modeling of uncertain and partially unknown systems using DeepONets

Keyphrases

• System Response 100%
• Multi-fidelity 100%
• DeepONet 100%
• Partially Unknown Systems 100%
• Complex Physical System 100%
• Partially Unknown 100%
• Recent Advances 50%
• Computational Resources 50%
• Physical Systems 50%
• Numerical Examples 50%
• Computationally Expensive 50%
• Data-driven Methods 50%
• Neural Network Architecture 50%
• Inaccurate Models 50%
• Low-fidelity Model 50%
• Deep Operator Network 50%
• Parametric Uncertainty 50%
• Nonlinear Operator 50%
• Model Uncertain 50%
• Modeling Approaches 50%
• Experimental Dataset 50%
• Small Training Dataset 50%

Computer Science

• Physical System 100%
• System Response 66%
• Computational Resource 33%
• Neural Network Architecture 33%
• Network Operator 33%
• Numerical Example 33%
• Training Dataset 33%
• Experimental Dataset 33%
• Complex System 33%