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08/25/2023
Resolution-independent generative models based on operator learning for physics-constrained Bayesian inverse problems
The Bayesian inference approach is widely used to tackle inverse problem...
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08/19/2023
A novel reduced basis method for adjoint sensitivity analysis of dynamic topology optimization
In gradient-based time domain topology optimization, design sensitivity ...
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09/21/2022
An E-PINN assisted practical uncertainty quantification for inverse problems
How to solve inverse problems is the challenge of many engineering and i...
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09/02/2021
A Physics-Data-Driven Bayesian Method for Heat Conduction Problems
In this study, a novel physics-data-driven Bayesian method named Heat Co...
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10/16/2019