36 citations · 116 across the 26 of their papers we have counts for
6 papers · 1 filter
Latest progress on the reduced-order particle-in-cell scheme: II. Quasi-3D implementation and verification
Maryam Reza, Farbod Faraji, Aaron Knoll
Across many plasma applications, the underlying phenomena and interactions among the involved processes are known to exhibit three-dimensional characteristics. Furthermore, the glo…
Latest progress on the reduced-order particle-in-cell scheme: I. refining the underlying formulation
Maryam Reza, Farbod Faraji, Aaron Knoll
The particle-in-cell (PIC) method is a well-established and widely used kinetic plasma modelling approach that provides a hybrid Lagrangian-Eulerian approach to solve the plasma ki…
Machine Learning Applications to Computational Plasma Physics and Reduced-Order Plasma Modeling: A Perspective
Farbod Faraji, Maryam Reza
Machine learning (ML) provides a broad spectrum of tools and architectures that enable the transformation of data from simulations and experiments into useful and explainable scien…
Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics
J. Nathan Kutz, Maryam Reza, Farbod Faraji +1
Reduced order models are becoming increasingly important for rendering complex and multiscale spatio-temporal dynamics computationally tractable. The computational efficiency of su…
Data-driven local operator finding for reduced-order modelling of plasma systems: II. Application to parametric dynamics
Farbod Faraji, Maryam Reza, Aaron Knoll +1
Real-world systems often exhibit dynamics influenced by various parameters, either inherent or externally controllable, necessitating models capable of reliably capturing these par…
Data-driven local operator finding for reduced-order modelling of plasma systems: I. Concept and verifications
Farbod Faraji, Maryam Reza, Aaron Knoll +1
Reduced-order plasma models that can efficiently predict plasma behavior across various settings and configurations are highly sought after yet elusive. The demand for such models…