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physics.comp-ph2026
Differential-Embedding Reconstruction of Dynamical Systems from Scalar Time Series
Ameir Shaa, Claude Guet
We study the reconstruction of an unknown dynamical system from a single noisy scalar time series. The goal is to recover the underlying dynamics for forecasting. We introduce a me…
physics.plasm-ph2026
Surrogate modeling of drift-reduced Braginskii turbulence with resistivity-conditioned Koopman neural operators
Ameir Shaa, Kyungtak Lim, Long Shan Chan +1
Machine-learning-driven surrogate operators are developed for three-dimensional, nonlinear, flux-driven simulations of boundary plasma turbulence based on the two-fluid drift-reduc…