2 papers
physics.flu-dyn2025
Hierarchical Dimensionless Learning (Hi-Ï): A physics-data hybrid-driven approach for discovering dimensionless parameter combinations
Mingkun Xia, Haitao Lin, Weiwei Zhang
Dimensional analysis provides a universal framework for reducing physical complexity and reveal inherent laws. However, its application to high-dimensional systems still generates…
physics.flu-dyn2025
Scaling Function Learning: A sparse aerodynamic data reconstruction method for generalizing aircraft shapes
Haitao Lin, Xu Wang, Weiwei Zhang
Accurate and complete aerodynamic data sets are the basis for comprehensive and accurate evaluation of the overall performance of aircraft. However, the sampling cost of full-state…