Linot, A.

Authored

(518c) Distributed Low-Dimensional Models for Predicting Large Spatiotemporally Chaotic Dynamical Systems
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(422d) Data-Driven Symmetry-Aware Low-Dimensional Models for Predicting Turbulent Fluid Flows
2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)
(388b) Stabilized Neural ODEs for Data-Driven Reduced-Order Modeling of Plane Couette Flow
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(420a) Deep Model-Based Reinforcement Learning for Active Flow Control of Turbulent Couette Flow
2022 Annual Meeting (ISBN: 978-0-8169-1118-9)
(554b) Modeling Chaotic Spatiotemporal Dynamics with a Minimal Representation Using Neural ODEs
2021 Annual Meeting (ISBN: 978-0-8169-1116-5)
(510b) Deep Learning for Recreating Chaotic Dynamics of Partial Differential Equations with a Minimal Representation
2020 Virtual AIChE Annual Meeting (ISBN: 978-0-8169-1114-1)
(296d) Spatially Invariant K-Means Clustering for Analyzing the Turbulent Attractor of Minimal Channel Flow
2019 AIChE Annual Meeting (ISBN: 978-0-8169-1112-7)

Related Proceedings

2019 AIChE Annual Meeting2020 Virtual AIChE Annual Meeting2021 Annual Meeting2022 Annual Meeting2023 AIChE Annual Meeting