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Chaos (Woodbury, N.Y.)|June 17, 2026
Low-dimensional multiscale dynamics of intermittent reversals in turbulent Rayleigh-Bénard convectionQiwei Chen, C Ricardo Constante-AmoresChaos (Woodbury, N.Y.)|April 15, 2025
On the relationship between Koopman operator approximations and neural ordinary differential equations for data-driven time-evolution predictionsJake Buzhardt, C Ricardo Constante-Amores, 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 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 GrahamPageof 1