Journal article 134 views
EnKF data-driven reduced order assimilation system
Prakhar Sharma 
,
C. Liu,
R. Fu ,
Dunhui Xiao ,
R. Stefanescu,
P. Sharma ,
C. Zhu ,
S. Sun,
C. Wang
,
C. Liu,
R. Fu ,
Dunhui Xiao ,
R. Stefanescu,
P. Sharma ,
C. Zhu ,
S. Sun,
C. Wang
Engineering Analysis with Boundary Elements, Volume: 139, Pages: 46 - 55
Swansea University Authors:
Prakhar Sharma , Dunhui Xiao
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.enganabound.2022.02.016
Abstract
EnKF data-driven reduced order assimilation system
| Published in: | Engineering Analysis with Boundary Elements |
|---|---|
| ISSN: | 0955-7997 |
| Published: |
Elsevier BV
2022
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| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa60825 |
| Tags: |
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| Keywords: |
Reduced order model; Deep learning; Auto-Encoder; LSTM; EnKF |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
The authors would like to acknowledge the support of EPSRC grant PURIFY (EP/V000756/1) and the Royal Society International Exchanges 2019 Cost Share (IEC\NSFC\191037): United Kingdom. The authors acknowledge the Fundamental Research Funds for the Central Universities: China. We acknowledge the support of the Supercomputing Wales project, which is part-funded by the European Regional Development Fund (ERDF) via Welsh Government. |
| Start Page: |
46 |
| End Page: |
55 |