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cs.LG2024
Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations
Zan Ahmad, Shiyi Chen, Minglang Yin +4
A computed approximation of the solution operator to a system of partial differential equations (PDEs) is needed in various areas of science and engineering. Neural operators have…
cs.LG2024★ 8 cited
DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
Minglang Yin, Nicolas Charon, Ryan Brody +3
The solution of a PDE over varying initial/boundary conditions on multiple domains is needed in a wide variety of applications, but it is computationally expensive if the solution…