Deep learning for in situ data compression of large turbulent flow simulations-Reference-Cited by-同舟云学术

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Deep learning for in situ data compression of large turbulent flow simulations

Published:2020-11-11 Issue:11 Volume:5 Page:
ISSN:2469-990X
Container-title:Physical Review Fluids
language:en
Short-container-title:Phys. Rev. Fluids

Author:

Glaws Andrew^ORCID,King Ryan,Sprague Michael

Funder

U.S. Department of Energy

Office of Science

National Nuclear Security Administration

Publisher

American Physical Society (APS)

Subject

Fluid Flow and Transfer Processes,Modeling and Simulation,Computational Mechanics

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevFluids.5.114602/fulltext

Reference49 articles.

1. Big data and extreme-scale computing

2. Neural Network Modeling for Near Wall Turbulent Flow

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