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Chaos (Woodbury, N.Y.)|July 30, 2022
Data-driven reduced-order modeling of spatiotemporal chaos with neural ordinary differential equationsAlec J Linot, Michael D GrahamPhysical Review. E|July 22, 2020
Deep learning to discover and predict dynamics on an inertial manifoldAlec J Linot, Michael D GrahamChaos (Woodbury, N.Y.)|April 4, 2024
Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approachesC Ricardo Constante-Amores, Alec J Linot, Michael D GrahamPhysical Review. E|February 20, 2026
Data-driven prediction of large-scale spatiotemporal chaos with distributed low-dimensional modelsC Ricardo Constante-Amores, Alec J Linot, Michael D GrahamPageof 1