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20222026
most citedDeep-learning assisted reduced order model for high-dimensional flow prediction from sparse data

44 citations · 77 across the 4 of their papers we have counts for

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2 papers · 1 filter

physics.flu-dyn2023★ 44 cited

Deep-learning assisted reduced order model for high-dimensional flow prediction from sparse data

Jiaxin Wu, Dunhui Xiao, Min Luo

The reconstruction and prediction of full-state flows from sparse data are of great scientific and engineering significance yet remain challenging, especially in applications where…

cs.LG2023★ 13 cited

Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review

Sibo Cheng, Cesar Quilodran-Casas, Said Ouala +14

Data Assimilation (DA) and Uncertainty quantification (UQ) are extensively used in analysing and reducing error propagation in high-dimensional spatial-temporal dynamics. Typical a…