2 papers
math.NA2026
Generalized Transferable Neural Networks for Steady-State Partial Differential Equations
Tao Cheng, Lili Ju, Zhonghua Qiao +1
Deep learning has emerged as a compelling framework for scientific and engineering computing, motivating growing interest in neural network-based solvers for partial differential e…
cs.LG2025
A Structure-Preserving Framework for Solving Parabolic Partial Differential Equations with Neural Networks
Gaohang Chen, Lili Ju, Zhonghua Qiao
Solving partial differential equations (PDEs) with neural networks (NNs) has shown great potential in various scientific and engineering fields. However, most existing NN solvers m…