36 citations · 116 across the 26 of their papers we have counts for
27 papers
Reconstruction of Multiscale Plasma Dynamics Across Operating Regimes
Maryam Reza, Farbod Faraji
Reconstructing spatially resolved plasma dynamics from few sensors is essential for diagnostics, reduced-order modelling and control, yet remains difficult because the sparse measu…
RECAST: A Machine-Learning Framework for Correction and Super-Resolution of Coarse-Grid PDE Solvers
Maryam Reza, Farbod Faraji
Coarse-grid numerical solvers can substantially reduce the computational cost of time-dependent PDE simulation, but under-resolution often degrades both the trajectory and the spat…
Space-Time Information Interchangeability in Dynamical Systems: Conditions and Bounds for Replacing Spatial Sensors with Temporal Histories
Maryam Reza, Farbod Faraji
Many dynamical-state reconstruction problems seek to infer a high-dimensional spatial state from measurements at only a few locations. Because the governing dynamics couple evoluti…
Verifier-Guided Model Discovery for Physical Dynamical Systems with Pretrained Symbolic Transformers
Farbod Faraji, Francesco Belardinelli
Reliable forecasting of nonlinear physical systems underpins scientific discovery and engineering decision-making. Yet high-fidelity simulations are prohibitively costly, and machi…
Machine-Learning-Enabled Full-State Reconstruction of Fusion Plasmas from Minimal Sensor Measurements
Maryam Reza, Farbod Faraji
Plasma in nuclear fusion reactors is only partially observable: diagnostics are constrained by limited access, cost, and the harsh plasma environment, while high-fidelity simulatio…
Inferring solar-wind plasma structures from sparse probe trajectories using recurrent reduced-order learning
Maryam Reza, Farbod Faraji
In space plasma studies, spacecraft measurements often provide time histories of the solar-wind plasma. However, many heliospheric plasma processes are organized over spatial scale…
Benchmark for two-dimensional large scale coherent structures in partially magnetized ExB plasmas -- Community collaboration & lessons learned
Andrew T. Powis, Eduardo Ahedo, Alejandro Álvarez Laguna +38
Low-temperature plasmas are essential to both fundamental scientific research and critical industrial applications. As in many areas of science, numerical simulations have become a…
Investigation of the influence of electrostatic excitation on instabilities and electron transport in ExB plasma configurations
Maryam Reza, Farbod Faraji, Aaron Knoll +1
Partially magnetized plasmas in ExB configurations - where the electric and magnetic fields are mutually perpendicular - exhibit a cross-field transport behavior, which is widely b…
Multiscale autonomous forecasting of plasma systems' dynamics using neural networks
Farbod Faraji, Maryam Reza
Plasma systems exhibit complex multiscale dynamics, resolving which poses significant challenges for conventional numerical simulations. Machine learning (ML) offers an alternative…
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…
Effects of the applied fields' strength on the plasma behavior and processes in ExB plasma discharges of various propellants: II. Magnetic field
Maryam Reza, Farbod Faraji, Aaron Knoll
We present in this part II the effects of the magnetic field intensity on the properties of the plasma discharge and the underlying phenomena for different propellant's ion mass. T…
Effects of the applied fields' strength on the plasma behavior and processes in ExB plasma discharges of various propellants: I. Electric field
Maryam Reza, Farbod Faraji, Aaron Knoll
We present, in this two-part article, an extensive study on the influence that the magnitudes of the applied electric (E) and magnetic (B) fields have on a collisionless plasma dis…
Influence of the magnetic field's curvature on the radial-azimuthal dynamics of a Hall thruster plasma discharge with different propellants
Maryam Reza, Farbod Faraji, Aaron Knoll
The topology of the applied magnetic field is an important design aspect of Hall thrusters. For modern Hall thrusters, the field topology most often features curved lines with a co…
Dynamic Mode Decomposition for data-driven analysis and reduced-order modelling of ExB plasmas: II. dynamics forecasting
Farbod Faraji, Maryam Reza, Aaron Knoll +1
In part I of the article, we demonstrated that a variant of the Dynamic Mode Decomposition (DMD) algorithm based on variable projection optimization, called Optimized DMD (OPT-DMD)…
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 +1
In this two-part article, we evaluate the utility and the generalizability of the Dynamic Mode Decomposition (DMD) algorithm for data-driven analysis and reduced-order modelling of…
Reduced-order particle-in-cell simulations of a high-power magnetically shielded Hall thruster
Maryam Reza, Farbod Faraji, Aaron Knoll +3
High-power magnetically shielded Hall thrusters have recently emerged to meet the needs of the next-generation space missions. Even though a few such thrusters are currently underg…
Effects of the neutral dynamics model on the particle-in-cell simulations of a Hall thruster plasma discharge
Farbod Faraji, Maryam Reza, Aaron Knoll
The dynamics of the neutral atoms in Hall thrusters affect several plasma processes, from the ionization to the electrons' mobility. In the context of Hall thruster's particle-in-c…
Effects of magnetic field gradient and secondary electron emission on instabilities and transport in an ExB plasma configuration
Maryam Reza, Farbod Faraji, Aaron Knoll
Today, partially magnetized low-temperature plasmas (LTP) in an ExB configuration, where the applied magnetic field is perpendicular to the self-consistent electric field, have imp…
Verification of the generalized reduced-order particle-in-cell scheme in a radial-azimuthal ExB plasma configuration
Farbod Faraji, Maryam Reza, Aaron Knoll
In this article, we present an in-depth verification of the generalized electrostatic reduced-order particle-in-cell (PIC) scheme in a cross electric and magnetic field configurati…