most citedA data driven reduced order model of fluid flow by Auto-Encoder and self-attention deep learning methods

14 citations · 14 across the 1 of their papers we have counts for

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physics.comp-ph2021★ 14 cited

A data driven reduced order model of fluid flow by Auto-Encoder and self-attention deep learning methods

R. Fu, D. Xiao, I. M. Navon +1

This paper presents a new data-driven non-intrusive reduced-order model(NIROM) that outperforms the traditional Proper orthogonal decomposition (POD) based reducedorder model. This…