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06/13/2023
Non-intrusive reduced order models for partitioned fluid-structure interactions
The main goal of this research is to develop a data-driven reduced order...
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12/22/2022
Fixed-budget online adaptive mesh learning for physics-informed neural networks. Towards parameterized problem inference
Physics-Informed Neural Networks (PINNs) have gained much attention in v...
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11/30/2022
Continuous Methods : Adaptively intrusive reduced order model closure
Reduced order modeling methods are often used as a mean to reduce simula...
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01/31/2022