3 citations · 3 across the 1 of their papers we have counts for
3 papers
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…
cs.LG2023★ 3 cited
Compact and Intuitive Airfoil Parameterization Method through Physics-aware Variational Autoencoder
Yu-Eop Kang, Dawoon Lee, Kwanjung Yee
Airfoil shape optimization plays a critical role in the design of high-performance aircraft. However, the high-dimensional nature of airfoil representation causes the challenging p…
cs.LG2023
Towards Reliable Uncertainty Quantification via Deep Ensembles in Multi-output Regression Task
Sunwoong Yang, Kwanjung Yee
This study aims to comprehensively investigate the deep ensemble approach, an approximate Bayesian inference, in the multi-output regression task for predicting the aerodynamic per…