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physics.flu-dyn2024
Data-Driven Physics-Informed Neural Networks: A Digital Twin Perspective
Sunwoong Yang, Hojin Kim, Yoonpyo Hong +3
This study explores the potential of physics-informed neural networks (PINNs) for the realization of digital twins (DT) from various perspectives. First, various adaptive sampling…
physics.flu-dyn2022★ 39 cited
Physics-aware Reduced-order Modeling of Transonic Flow via -Variational Autoencoder
Yu-Eop Kang, Sunwoong Yang, Kwanjung Yee
Autoencoder-based reduced-order modeling (ROM) has recently attracted significant attention, owing to its ability to capture underlying nonlinear features. However, two critical dr…