Improving aircraft performance using machine learning: A review
2023 · Aerospace Science and Technology · 154 citations
https://doi.org/10.1016/j.ast.2023.108354
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Soledad Le Clainche
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Soledad Le Clainche is an academic researcher. The author has contributed to research in topics: Model Reduction and Neural Networks & Fluid Dynamics and Turbulent Flows & Fluid Dynamics and Vibration Analysis. The author has an h-index of 25, co-authored 157 publications.
ORCID: 0000-0003-3605-7351Papers by this author
worksTowards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
2022 · Expert Systems with Applications · 123 citations
https://doi.org/10.1016/j.eswa.2022.117038
A transition prediction method for flow over airfoils based on high-order dynamic mode decomposition
2019 · Chinese Journal of Aeronautics · 36 citations
https://doi.org/10.1016/j.cja.2019.03.020
Causality analysis of large-scale structures in the flow around a wall-mounted square cylinder
2023 · Journal of Fluid Mechanics · 15 citations
https://doi.org/10.1017/jfm.2023.423
ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools
2024 · Computer Physics Communications · 15 citations
https://doi.org/10.1016/j.cpc.2024.109217
Forecasting through deep learning and modal decomposition in two-phase concentric jets
2023 · Expert Systems with Applications · 9 citations
https://doi.org/10.1016/j.eswa.2023.120817
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