51 citations · 54 across the 2 of their papers we have counts for
2 papers
cs.AI2021★ 3 cited
Speeding up Computational Morphogenesis with Online Neural Synthetic Gradients
Yuyu Zhang, Heng Chi, Binghong Chen +4
A wide range of modern science and engineering applications are formulated as optimization problems with a system of partial differential equations (PDEs) as constraints. These PDE…
math.NA2019★ 51 cited
Learning Neural PDE Solvers with Convergence Guarantees
Jun-Ting Hsieh, Shengjia Zhao, Stephan Eismann +2
Partial differential equations (PDEs) are widely used across the physical and computational sciences. Decades of research and engineering went into designing fast iterative solutio…