3 citations · 3 across the 5 of their papers we have counts for
5 papers
ResiPhy-MDNF: A Residual-Based Physics-Aware Multilevel Discrete Neural Field Framework for PDE-Constrained Inverse Problems
Zheng Lu, Jiwei Jia, Young Ju Lee
Inverse problems governed by partial differential equations are difficult when observations are sparse and the unknown coefficient field contains both large- and small-scale struct…
Invariant Guided PINN for Fluid Flow Computation
Zheng Lu, Jiwei Jia, Bora Aniruddha +2
Physics-informed neural networks (PINNs) often become difficult to optimize for incompressible flow problems with large spatial domains, multiscale stresses, or long-time invariant…
R-PINN: Recovery-type a-posteriori estimator enhanced adaptive PINN
Rongxin Lu, Jiwei Jia, Young Ju Lee +2
In recent years, with the advancements in machine learning and neural networks, algorithms using physics-informed neural networks (PINNs) to solve PDEs have gained widespread appli…
Helicity-conservative Physics-informed Neural Network Model for Navier-Stokes Equations
Jiwei Jia, Young Ju Lee, Ziqian Li +2
We design the helicity-conservative physics-informed neural network model for the Navier-Stokes equation in the ideal case. The key is to provide an appropriate PDE model as loss f…
Research on facial expression recognition based on Multimodal data fusion and neural network
Yi Han, Xubin Wang, Zhengyu Lu
Facial expression recognition is a challenging task when neural network is applied to pattern recognition. Most of the current recognition research is based on single source facial…