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Aerodynamic design via control theory
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Cited by
Multidisciplinary Design Optimization: A Survey of Architectures
Martins, J. R. R. A., & Lambe, A. B. (2013) · AIAA Journal · doi:10.2514/1.j051895 · Cited by 1,111
An Introduction to the Adjoint Approach to Design
Giles, M. B., & Pierce, N. A. (2000) · Flow, Turbulence and Combustion · doi:10.1023/a:1011430410075 · Cited by 989
Optimum Aerodynamic Design Using the Navier-Stokes Equations
Jameson, A., Martinelli, L., & Pierce, N. A. (1998) · Theoretical and Computational Fluid Dynamics · doi:10.1007/s001620050060 · Cited by 585
Self-citationActive Subspace Methods in Theory and Practice: Applications to Kriging Surfaces
Constantine, P. G., Dow, E., & Wang, Q. (2014) · SIAM Journal on Scientific Computing · doi:10.1137/130916138 · Cited by 506
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
Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization
Zhang, X., Xie, F., Ji, T., Zhu, Z., & Zheng, Y. (2021) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2020.113485 · Cited by 380
Effective adjoint approaches for computational fluid dynamics
Kenway, G. K. W., Mader, C. A., He, P., & Martins, J. R. R. A. (2019) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2019.05.002 · Cited by 331
Yondo, R., Andrés, E., & Valero, E. (2018) · Progress in Aerospace Sciences · doi:10.1016/j.paerosci.2017.11.003 · Cited by 311
High-NA achromatic metalenses by inverse design
Chung, H., & Miller, O. D. (2020) · Optics Express · doi:10.1364/oe.385440 · Cited by 306
Zingg, D. W., Nemec, M., & Pulliam, T. H. (2008) · European Journal of Computational Mechanics · doi:10.3166/remn.17.103-126 · Cited by 186
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction
Belbute-Peres, F. D. A., Economon, T. D., & Kolter, J. Z. (2020) · arXiv · doi:10.48550/arxiv.2007.04439 · Cited by 152
A framework for automated PDE-constrained optimisation
Funke, S. W., & Farrell, P. E. (2013) · arXiv · doi:10.48550/arxiv.1302.3894 · Cited by 58
External acoustic control of the laminar vortex shedding past a bluff body
Lemke, M., Citro, V., & Giannetti, F. (2021) · Fluid Dynamics Research · doi:10.1088/1873-7005/abd8dd · Cited by 8
Metadata
- Authors
- Jameson, A.
- Venue
- Journal of Scientific Computing
- Published
- 1988-09
- Volume
- 3
- Issue
- 3
- Pages
- 233-260
- ISSN
- 0885-7474 (ISSN-L)
- 1573-7691
- OpenAlex
- W1974961323
- Cited by
- 1,930
- References
- 0
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- green
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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.
