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

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

11 January 2023
Alec J. Linot
M. Graham
    AI4CE
ArXivPDFHTML

Papers citing "Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow"

6 / 6 papers shown
Title
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictions
Jake Buzhardt
C. Ricardo Constante-Amores
Michael D. Graham
71
2
0
20 Nov 2024
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Building symmetries into data-driven manifold dynamics models for complex flows: application to two-dimensional Kolmogorov flow
Carlos E. Pérez De Jesús
Alec J. Linot
Michael D. Graham
AI4CE
35
1
0
15 Dec 2023
Turbulence control in plane Couette flow using low-dimensional neural
  ODE-based models and deep reinforcement learning
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
Alec J. Linot
Kevin Zeng
M. Graham
AI4CE
16
19
0
28 Jan 2023
Data-driven low-dimensional dynamic model of Kolmogorov flow
Data-driven low-dimensional dynamic model of Kolmogorov flow
Carlos E. Pérez De Jesús
M. Graham
57
23
0
29 Oct 2022
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal
  Forecastings of Saturations and Pressure in the SACROC Field
Convolutional Long Short-Term Memory (convLSTM) for Spatio-Temporal Forecastings of Saturations and Pressure in the SACROC Field
P. Panja
W. Jia
Alec Nelson
B. McPherson
26
0
0
15 Oct 2022
Data-driven discovery of intrinsic dynamics
Data-driven discovery of intrinsic dynamics
D. Floryan
M. Graham
AI4CE
102
72
0
12 Aug 2021
1