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cs.LG2025
A unified physics-informed generative operator framework for general inverse problems
Gang Bao, Yaohua Zang
Solving inverse problems governed by partial differential equations (PDEs) is central to science and engineering, yet remains challenging when measurements are sparse, noisy, or wh…
cs.LG2023★ 2 cited
ParticleWNN: a Novel Neural Networks Framework for Solving Partial Differential Equations
Yaohua Zang, Gang Bao
Deep neural networks (DNNs) have been widely used to solve partial differential equations (PDEs) in recent years. In this work, a novel deep learning-based framework named Particle…