Alec J. Linot

According to our database, Alec J. Linot authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems.

Alec J. Linot, Joshua W. Burby, Qi Tang, Prasanna Balaprakash, Michael D. Graham, Romit Maulik

J. Comput. Phys., February, 2023

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

Carlos E. Pérez De Jesús, Alec J. Linot, Michael D. Graham

CoRR, 2023

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

C. Ricardo Constante-Amores, Alec J. Linot, Michael D. Graham

CoRR, 2023

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

Alec J. Linot, Kevin Zeng, Michael D. Graham

CoRR, 2023

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

Alec J. Linot, Michael D. Graham

CoRR, 2023

2022

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

Kevin Zeng, Alec J. Linot, Michael D. Graham

CoRR, 2022

2021

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

Alec J. Linot, Michael D. Graham

CoRR, 2021

2020

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

Alec J. Linot, Michael D. Graham

CoRR, 2020