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02/02/2023
Randomized prior wavelet neural operator for uncertainty quantification
In this paper, we propose a novel data-driven operator learning framewor...
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06/12/2022
Variational Bayes Deep Operator Network: A data-driven Bayesian solver for parametric differential equations
Neural network based data-driven operator learning schemes have shown tr...
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01/31/2022
Assessment of DeepONet for reliability analysis of stochastic nonlinear dynamical systems
Time dependent reliability analysis and uncertainty quantification of st...
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09/01/2021
Physics-integrated hybrid framework for model form error identification in nonlinear dynamical systems
For real-life nonlinear systems, the exact form of nonlinearity is often...
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03/29/2021