3 citations · 3 across the 1 of their papers we have counts for
3 papers
physics.comp-ph2025
Hybrid Boundary Physics-Informed Neural Networks for Solving Navier-Stokes Equations with Complex Boundary
Chuyu Zhou, ianyu Li, Chenxi Lan +7
Physics-informed neural networks (PINN) have achieved notable success in solving partial differential equations (PDE), yet solving the Navier-Stokes equations (NSE) with complex bo…
eess.IV2024
Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging
Zhibin Wang, Yanxin Cai, Jiayi Zhou +6
The growing field of remote sensing faces a challenge: the ever-increasing size and volume of imagery data are exceeding the storage and transmission capabilities of satellite plat…
physics.flu-dyn2024★ 3 cited
Physics-Informed Neural Networks with Complementary Soft and Hard Constraints for Solving Complex Boundary Navier-Stokes Equations
Chuyu Zhou, Tianyu Li, Chenxi Lan +7
Soft- and hard-constrained Physics Informed Neural Networks (PINNs) have achieved great success in solving partial differential equations (PDEs). However, these methods still face…