Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction

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2020-01

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Science & Technology, Technology, Physical Sciences, Computer Science, Interdisciplinary Applications, Physics, Mathematical, Computer Science, Physics, Multiscale, Upscaling, Porous media, Deep learning, Dynamics, FINITE-ELEMENT METHODS, MULTISCALE MODEL, UNCERTAINTY QUANTIFICATION, WAVE-PROPAGATION, HOMOGENIZATION, EFFICIENT, NETWORKS

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https://hdl.handle.net/10161/20371

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10.1016/j.jcp.2019.108939

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Wang, Min, Siu Wun Cheung, Wing Tat Leung, Eric T Chung, Yalchin Efendiev and Mary Wheeler (2020). Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction. Journal of Computational Physics, 401. pp. 108939–108939. 10.1016/j.jcp.2019.108939 Retrieved from https://hdl.handle.net/10161/20371.

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