The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework
Open accessAbstract
We present a comprehensive framework for augmenting turbulence models with physics-informed machine learning, illustrating a complete workflow from identification of input/output to prediction of mean velocities. The learned model has Galilean invariance and coordinate rotational invariance.
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Cites
Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538
The Elements of Statistical Learning
Hastie, T., Friedman, J., & Tibshirani, R. (2001) · Springer Series in Statistics · doi:10.1007/978-0-387-21606-5 · Cited by 24,162
Wang, J.-X., Wu, J.-L., & Xiao, H. (2017) · Physical Review Fluids · doi:10.1103/physrevfluids.2.034603 · Cited by 737
Self-citationIntroduction to neural networks
Cross, S. S., Harrison, R. F., & Kennedy, R. L. (1995) · The Lancet · doi:10.1016/s0140-6736(95)91746-2 · Cited by 615
Wang, J.-X., Wu, J.-L., & Xiao, H. (2016) · arXiv · doi:10.48550/arxiv.1606.07987 · Cited by 1
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Rasheed, A., San, O., & Kvamsdal, T. (2020) · IEEE Access · doi:10.1109/access.2020.2970143 · Cited by 1,952
Fast flow field prediction over airfoils using deep learning approach
Sekar, V., Jiang, Q., Shu, C., & Khoo, B. C. (2019) · Physics of Fluids · doi:10.1063/1.5094943 · Cited by 486
Enforcing Analytic Constraints in Neural Networks Emulating Physical Systems
Beucler, T., Pritchard, M., Rasp, S., Ott, J., Baldi, P., & Gentine, P. (2021) · Physical Review Letters · doi:10.1103/physrevlett.126.098302 · Cited by 451
Perspective on machine learning for advancing fluid mechanics
Brenner, M. P., Eldredge, J. D., & Freund, J. B. (2019) · Physical Review Fluids · doi:10.1103/physrevfluids.4.100501 · Cited by 292
Wang, H., Li, B., Gong, J., & Xuan, F.-Z. (2023) · Engineering Fracture Mechanics · doi:10.1016/j.engfracmech.2023.109242 · Cited by 281
Metadata
- Authors
- Wu, J.-L., Xiao, H., & Paterson, E.
- Venue
- Physical Review Fluids
- Publisher
- American Physical Society (APS)
- Published
- 2018-07-10
- Volume
- 3
- Issue
- 7
- ISSN
- 2469-990X (ISSN-L)
- OpenAlex
- W2904260561
- Cited by
- 510
- References
- 5
- FWCI
- 18.91
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
