19 citations · 19 across the 3 of their papers we have counts for
3 papers
physics.flu-dyn2026
Physics-Informed Latent Neural Operator for Three-Dimensional Compressor Cascade Flow Prediction
Yuling Han, Zhihui Li, Zhibin Yu
A physics-informed latent neural operator framework is proposed for three-dimensional compressor cascade flow prediction. The proposed method combines a Transolver-based latent enc…
physics.flu-dyn2026
Meta-PINNs: Meta-Learning Enhanced Physics-Informed Machine Learning Framework for Turbomachinery Flow Predictions under Varying Operation Conditions
Yuling Han, Zhihui Li, Zhibin Yu
Coupling physics with machine learning models has shown great potential for solving fluid dynamics problems governed by partial differential equations. However, conventional method…
cs.LG2023★ 19 cited
Investigation of Compressor Cascade Flow Using Physics- Informed Neural Networks with Adaptive Learning Strategy
Zhihui Li, Francesco Montomoli, Sanjiv Sharma
In this study, we utilize the emerging Physics Informed Neural Networks (PINNs) approach for the first time to predict the flow field of a compressor cascade. Different from conven…