A reduced order model for turbulent flows in the urban environment using machine learning
- Submitting institution
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Swansea University / Prifysgol Abertawe
- Unit of assessment
- 12 - Engineering
- Output identifier
- 46445
- Type
- D - Journal article
- DOI
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10.1016/j.buildenv.2018.10.035
- Title of journal
- Building and Environment
- Article number
- -
- First page
- 323
- Volume
- 148
- Issue
- -
- ISSN
- 0360-1323
- Open access status
- Compliant
- Month of publication
- January
- Year of publication
- 2019
- URL
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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-
- Research group(s)
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5 - ZCCE - Zienkiewicz Centre for Computational Engineering
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work led to two grants: EPSRC (New Investigator Award, EP/V000756/1, £ 311,000) and EPSRC UK Fluids network, Short Research Visits grant (https://fluids.ac.uk/srv, £1,000). In addition an invitation to be a member of program committee for the First Workshops on Machine Learning and Data Assimilation for Dynamical Systems 2019 (https://tinyurl.com/ybqszyxd). Resulted in three overseas government-funded PhD offers (Ministry of Higher Education & Scientific Research, Baghdad IRAQ, Director General of Scholarships & Cultural Relations Directorate, name/email withheld, 00964-7901108725).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -