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Data Driven Discovery of Dynamical Systems and PDEs
Dynamical systems and complex networks: A Koopman operator perspective
Data-driven model discovery: Targeted use of deep neural networks for physics and engineering
New Book!!! Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
Kathleen Champion - Data-driven discovery of coordinates and governing equations
DDPS | Data-driven modeling of dynamical systems: A systems theoretic perspective
Data-Driven Averaging of Dynamical Systems | Video Abstracts
SIAM DS21: Igor Meziฤ - Koopman Operator, Geometry, and Learning of Dynamical Systems
Robust & Interpretable Learning for Operator Theoretic Modeling of Non-linear Dynamics
DDPS | Physics-Informed Learning for Nonlinear Dynamical Systems
MACHINE LEARNING IN HAMILTONIAN AND OPEN QUANTUM SYSTEMS | PUCP
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Last Updated: August 22, 2026
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