Deep learning for real-time inverse problems and data assimilation with uncertainty quantification for digital twins

Additional Metadata
Promotor	C.W. Oosterlee (Kees) , S.M. Bohte (Sander)
Degree Grantor	Universiteit Utrecht
Organisation	Scientific Computing
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Mücke, N. (2024, June 27). Deep learning for real-time inverse problems and data assimilation with uncertainty quantification for digital twins.

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