Key time steps selection for CFD data based on deep metric learning

DOI10.1016/j.compfluid.2019.104318zbMath1466.76035OpenAlexW2979464575WikidataQ127099355 ScholiaQ127099355MaRDI QIDQ2334460

Fang Wang, Yunbo Wan, Yutong Lu, Yang Liu, Dong Sun, Liang Deng, Yue-Qing Wang

Publication date: 7 November 2019

Published in: Computers and Fluids (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.compfluid.2019.104318

zbMATH Keywords

flow visualizationCFD flow fielddeep metric learningkey time steps selection

Mathematics Subject Classification ID

Visualization algorithms applied to problems in fluid mechanics (76M27)

Uses Software

• SENSEI

Cites Work

• A CNN-based shock detection method in flow visualization
• Metric Learning: A Survey
• Learning Deep Architectures for AI
• Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

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