Model identification of reduced order fluid dynamics systems using deep learning-Reference-Cited by-同舟云学术

Model identification of reduced order fluid dynamics systems using deep learning

Author:

Wang Z.¹,Xiao D.²³⁴^ORCID,Fang F.²⁴,Govindan R.⁵,Pain C. C.²⁴,Guo Y.⁴

Affiliation:

1. School of Earth Sciences and Engineering Sun Yat‐sen University Guangzhou China

2. Applied Modelling and Computation Group, Department of Earth Science and Engineering Imperial College London Prince Consort Road London SW7 2BP UK

3. Department of Chemical Engineering Imperial College London London SW7 2AZ UK

4. Data Assimilation Lab, Data Science Institute Imperial College London London SW7 2AZ UK

5. College of Science and Engineering, Hamad Bin Khalifa University Qatar Foundation Doha Qatar

Funder

National Natural Science Foundation of China

Seventh Framework Programme

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Link

Reference67 articles.

2. Machine learning control—taming nonlinear dynamics and turbulence;Duriez T;Fluid Mech Appl (ISSN 0926‐5112,2016

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