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1. Elastoinertial turbulence: Data-driven reduced-order model based on manifold dynamics

2. Data-driven prediction of large-scale spatiotemporal chaos with distributed low-dimensional models

3. Dynamics of a Data-Driven Low-Dimensional Model of Turbulent Minimal Pipe Flow

4. Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows

5. Data-driven low-dimensional model of a sedimenting flexible fiber

6. Nested traveling wave structures in elastoinertial turbulence

7. Building symmetries into data-driven manifold dynamics models for complex flows

8. Data-driven state-space and Koopman operator models of coherent state dynamics on invariant manifolds

9. Free-space and near-wall dynamics of a flexible sheet sedimenting in Stokes flow

10. Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches

11. Flow instabilities in circular Couette flow of wormlike micelle solutions with a reentrant flow curve

13. Effect of polymer additives on dynamics of water level in an open channel

14. Scattering-Informed Microstructure Prediction during Lagrangian Evolution (SIMPLE) -- A data-driven framework for modeling complex fluids in flow

15. Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems

17. Self-similar, spatially localized structures in turbulent pipe flow from a data-driven wavelet decomposition

19. Enhancing Student Outcomes: Peer Mentors and Student Transition

20. An Adapted Self-Determination Measure and College Student First-Year Achievement

21. Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

22. Predicting extreme events in a data-driven model of turbulent shear flow using an atlas of charts

23. Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow

24. Deep learning delay coordinate dynamics for chaotic attractors from partial observable data

25. Data-driven low-dimensional dynamic model of Kolmogorov flow

26. Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning

27. Fit to fight! (LSD 41/49 Mid-Life Modernization Program)

28. Stabilized Neural Ordinary Differential Equations for Long-Time Forecasting of Dynamical Systems

34. Academic First-Year Seminar: Four-Year Retention and Graduation for All First-Time Students and Students at Additional Risk

35. Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations

36. Perspectives on viscoelastic flow instabilities and elastic turbulence

37. Data-driven discovery of intrinsic dynamics

39. The production of the depressed subject : a Foucauldian analysis of conflict, power, and the discourse of diagnosis in teachers' narratives of their depression

40. Wrinkling and multiplicity in the dynamics of deformable sheets in uniaxial extensional flow

42. Tollmien-Schlichting route to elastoinertial turbulence in channel flow

43. Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics

44. Constitutive modeling of dilute wormlike micelle solutions: shear-induced structure and transient dynamics

45. Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties

46. Coil-stretch-like transition of elastic sheets in extensional flows

47. Discovering multiscale and self-similar structure with data-driven wavelets

48. Flow-induced segregation and dynamics of red blood cells in sickle cell disease

49. Deep learning to discover and predict dynamics on an inertial manifold

50. Multiplicity of stable orbits for deformable prolate capsules in shear flow

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