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M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers
v1v2v3 (latest)

M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers

7 June 2024
Zhihao Li
Zhilu Lai
Xiaobo Zhang
Wei Wang
ArXiv (abs)PDFHTMLGithub

Papers citing "M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers"

2 / 2 papers shown
Method of Manufactured Learning for Solver-free Training of Neural Operators
Method of Manufactured Learning for Solver-free Training of Neural Operators
Arth Sojitra
Omer San
AI4CE
256
1
0
17 Nov 2025
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary GeometriesKnowledge Discovery and Data Mining (KDD), 2024
Zhihao Li
Haoze Song
Di Xiao
Zhilu Lai
Wei Wang
AI4CE
631
17
0
18 Nov 2024
1
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