Deep learning observables in computational fluid dynamics-Reference-Cited by-同舟云学术

Deep learning observables in computational fluid dynamics

Published:2020-06 Issue: Volume:410 Page:109339
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Lye Kjetil O.^ORCID,Mishra Siddhartha,Ray Deep^ORCID

Funder

ERC

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modelling and Simulation,Numerical Analysis

Reference53 articles.

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3. Universal approximation bounds for superpositions of a sigmoidal function;Barron;IEEE Trans. Inf. Theory,1993

4. Uncertainty Quantification in Computational Fluid Dynamics,2014

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