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20202024
most citedA composable machine-learning approach for steady-state simulations on high-resolution grids

3 citations · 5 across the 4 of their papers we have counts for

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cs.LG2024

A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations

Sheel Nidhan, Haoliang Jiang, Lalit Ghule +3

In this paper, we propose a domain-decomposition-based deep learning (DL) framework, named transient-CoMLSim, for accurately modeling unsteady and nonlinear partial differential eq…