most citedPDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations

4 citations · 9 across the 7 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2024

PCNet: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics

Qi Wang, Pu Ren, Hao Zhou +10

When solving partial differential equations (PDEs), classical numerical methods often require fine mesh grids and small time stepping to meet stability, consistency, and convergenc…

math.NA2024

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations

Zhanhong Ye, Xiang Huang, Leheng Chen +5

This paper introduces PDEformer-1, a versatile neural solver capable of simultaneously addressing various partial differential equations (PDEs). With the PDE represented as a compu…

math.NA2024★ 4 cited

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations

Zhanhong Ye, Xiang Huang, Leheng Chen +3

This paper introduces PDEformer, a neural solver for partial differential equations (PDEs) capable of simultaneously addressing various types of PDEs. We propose to represent the P…