Past rewinding of fluid dynamics from noisy observation via physics-informed neural computing

Reconstructing the past of observed fluids has been known as an ill-posed problem due to both numerical and physical challenges, especially when observations are distorted by inevitable noise, resolution limits, or unknown factors. When employing traditional differencing schemes to reconstruct the p...

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Veröffentlicht in:	Physical review. E 2024-08, Vol.110 (2-2), p.025302, Article 025302
1. Verfasser:	Seo, Jaemin
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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