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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…