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

Loading...
Thumbnail Image

Date

2020-01

Journal Title

Journal ISSN

Volume Title

Repository Usage Stats

119
views
140
downloads

Citation Stats

Abstract

Department

Description

Provenance

Citation

Published Version (Please cite this version)

10.1016/j.jcp.2019.108939

Publication Info

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.

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.


Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.