Publications

1. Deng, N., Noack, B. R., Cornejo Maceda, G., & Pastur, L. R. (2025). Nonlinear dynamics of the actuated fluidic pinball --- Steady, periodic, and chaotic regimes.

Chaos, Solitons & Fractals, 193, 116075. https://doi.org/10.1016/j.chaos.2025.116075

2. Deng, N., Noack, B. R., Pastur, L. R., Cornejo Maceda, G., & Hou, C. (2025). Cluster globally, model locally: Clusterwise modeling of nonlinear dynamics. Acta Mechanica Sinica, 41, 324545. https://www.sciengine.com/AMS/doi/10.1007/s10409-024-24545-x

3. Shaqarin, T., Jiang, Z., Wang, T., Hou, C., Cornejo Maceda, G., Deng, N., Gao, N., & Noack, B. R. (2024). Jet mixing optimization using a bio-inspired evolution of hardware and control. Scientific Reports, 14(1), 25952. https://doi.org/10.1038/s41598-024-75688-4

4. Deng, N., Yan, Y., Ji, C., & Noack, B. R. (2024). Feature-based manifold modeling for the quasiperiodic wake dynamics of a pair of side-by-side cylinders.

Physics of Fluids, 36, 093613. https://doi.org/10.1063/5.0224579

5. Wang, Z., Deng, N., Cornejo Maceda, G., Xu, W., Noack, B. R., Li, R., Cui, W., & Fan, D. (2024). Fast-adaption thrust optimization by cluster-based control for a pitching foil. Physics of Fluids, 36, 091922. https://doi.org/10.1063/5.0230049

6. Chang, H., Deng, N., & Noack, B. R. (2024). Dynamics-augmented cluster-based network model. Journal of fluid mechanics, 988, A48. https://doi.org/10.1017/jfm.2024.428

7. Liu, Y., Deng, N., Noack, B. R., & Wang, X. (2024). The fluidic pinball with symmetric forcing displays steady, periodic, quasi-periodic, and chaotic dynamics. Theoretical and Computational Fluid Dynamics, 38, 203–223.

8. Wang X., Deng, N., Cornejo Maceda, G. Y., Noack, B. R. 2023 Cluster-based control for net drag reduction of the fluidic pinball. Phys. Fluids, 35, 023601. https://doi.org/10.1063/5.0136499 

9. Farzamnik, E., Ianiro, A., Discetti, S., Deng, N., Oberleithner, K., Noack, B. R. and Guerrero, V. 2023 From snapshots to manifolds -- A tale of shear flows. J. Fluid Mech., 955, A34.  https://doi.org/10.1017/jfm.2022.1039, arxiv

10. Chang, H., Deng, N., Noack, B. R. 2022 Trajectory-optimized cluster-based network model for the sphere wake. Phys. Fluids, 34, 085110.  https://doi.org/10.1063/5.0098655, arxiv [Selected in Featured articles]

11. Deng, N., Noack, B. R., Morzyński, M. and Pastur, L. R. 2022 Cluster-based hierarchical network model of the fluidic pinball -- Cartographing transient and post-transient, multi-frequency, multi-attractor behaviour.  J. Fluid Mech., 934, A24. https://doi.org/10.1017/jfm.2021.1105, arXiv

12. Deng, N., Pastur, L. R., Tuckerman, L. S., Noack, B. R. 2021 Coinciding local bifurcations in the Navier-Stokes equations. EPL (Europhysics Letters), Accepted. online

13. Deng, N., Noack, B. R., Morzyński, M. and Pastur, L. R. 2021 Galerkin force model for transient and post-transient dynamics of the fluidic pinball. J. Fluid Mech., 918, A4. doi:10.1017/jfm.2021.299, arXiv

14. Deng, N., Pastur, L. R., Noack, B. R. 2020 Low-dimensional Flow Models from high-dimensional Flow data with Machine Learning and First Principles. Paper in ERCIM News 122: Solving Engineering Problems with Machine Learning.  Pages 30-31. arxiv

15. Deng, N., Noack, B. R., Morzyński, M. and Pastur, L. R. 2020 Low-order model for successive bifurcations of the fluidic pinball. J. Fluid Mech., 884, A37. doi:10.1017/jfm.2019.959, arxiv

16. Cornejo Maceda, G. Y., Noack B. R., Lusseyran, F., Deng, N., Pastur, L. R. and Morzyński, M. 2019 Artificial intelligence control applied to drag reduction of the fluidic pinball. Proc. Appl. Math. Mech. 19(1), article e201900268, 1–2. online

Deng, N. 2021 Deep mean-field modeling for successive bifurcations exemplified for the fluidic pinball, defended on 27-09-2021 in Institut Polytechnique de Paris, under the authority of École doctorale de l'Institut Polytechnique de Paris.  online

Supervisor: Luc R. Pastur and Bernd R. Noack.

Thesis committee President: Laurette S. Tuckerman.

Thesis committee members: Angelo Iollo, Bernd R. Noack, Dwight Barkley, Lutz Lesshafft, Steven L. Brunton, and Themistoklis Sapsis.

Examiners: Angelo Iollo, Dwight Barkley.