Dynamic Mode Decomposition for data-driven analysis and reduced-order modelling of ExB plasmas: I. Extraction of spatiotemporally coherent patterns. - Farbod Faraji; Maryam Reza; Aaron Knoll; J. Nathan Kutz (CoRR, 2023)

Dynamic Mode Decomposition for data-driven analysis and reduced-order modelling of ExB plasmas: II. dynamics forecasting. - Farbod Faraji; Maryam Reza; Aaron Knoll; J. Nathan Kutz (CoRR, 2023)

Data-driven local operator finding for reduced-order modelling of plasma systems: I. Concept and verifications. - Farbod Faraji; Maryam Reza; Aaron Knoll; J. Nathan Kutz (CoRR, 2024)

Data-driven local operator finding for reduced-order modelling of plasma systems: II. Application to parametric dynamics. - Farbod Faraji; Maryam Reza; Aaron Knoll; J. Nathan Kutz (CoRR, 2024)

Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics. - J. Nathan Kutz; Maryam Reza; Farbod Faraji; Aaron Knoll (CoRR, 2024)

Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective. - Farbod Faraji; Maryam Reza (CoRR, 2024)

Shallow recurrent decoder for reduced order modeling of E × B plasma dynamics. - Farbod Faraji; Maryam Reza; J. Nathan Kutz (Mach. Learn. Sci. Technol., 2025)

Multiscale autonomous forecasting of plasma systems' dynamics using neural networks. - Farbod Faraji; Maryam Reza (CoRR, 2025)