Michael D. Graham

Orcid: 0000-0003-4983-4949

According to our database1, Michael D. Graham authored at least 17 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Data-driven low-dimensional model of a sedimenting flexible fiber.
CoRR, 2024

2023
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems.
J. Comput. Phys., February, 2023

Building symmetries into data-driven manifold dynamics models for complex flows.
CoRR, 2023

Enhancing Predictive Capabilities in Data-Driven Dynamical Modeling with Automatic Differentiation: Koopman and Neural ODE Approaches.
CoRR, 2023

Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems.
CoRR, 2023

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning.
CoRR, 2023

Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow.
CoRR, 2023

2022
Data-driven discovery of intrinsic dynamics.
Nat. Mac. Intell., December, 2022

Deep learning delay coordinate dynamics for chaotic attractors from partial observable data.
CoRR, 2022

Data-driven low-dimensional dynamic model of Kolmogorov flow.
CoRR, 2022

Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning.
CoRR, 2022

2021
Data-Driven Reduced-Order Modeling of Spatiotemporal Chaos with Neural Ordinary Differential Equations.
CoRR, 2021

Charts and atlases for nonlinear data-driven models of dynamics on manifolds.
CoRR, 2021

Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics.
CoRR, 2021

2020
Low- and High-Drag Intermittencies in Turbulent Channel Flows.
Entropy, 2020

Deep learning to discover and predict dynamics on an inertial manifold.
CoRR, 2020

2012
Accelerated boundary integral method for multiphase flow in non-periodic geometries.
J. Comput. Phys., 2012


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