12 citations · 12 across the 2 of their papers we have counts for
2 papers
cs.LG2024
A physics-driven sensor placement optimization methodology for temperature field reconstruction
Xu Liu, Wen Yao, Wei Peng +3
Perceiving the global field from sparse sensors has been a grand challenge in the monitoring, analysis, and design of physical systems. In this context, sensor placement optimizati…
physics.comp-ph2022★ 12 cited
Hybrid Finite Difference with the Physics-informed Neural Network for solving PDE in complex geometries
Zixue Xiang, Wei Peng, Weien Zhou +1
The physics-informed neural network (PINN) is effective in solving the partial differential equation (PDE) by capturing the physics constraints as a part of the training loss funct…