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04/25/2023
A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems
Nonlinear systems, such as with degrading hysteretic behavior, are often...
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04/03/2022
Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets
Recent advances in modeling large-scale complex physical systems have sh...
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05/27/2021
Neural Network Training Using ℓ_1-Regularization and Bi-fidelity Data
With the capability of accurately representing a functional relationship...
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08/11/2020
Uncertainty Quantification of Locally Nonlinear Dynamical Systems using Neural Networks
Models are often given in terms of differential equations to represent p...
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02/11/2020
On transfer learning of neural networks using bi-fidelity data for uncertainty propagation
Due to their high degree of expressiveness, neural networks have recentl...
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02/11/2019