8 papers · 1 filter
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…
Benchmark for two-dimensional large scale coherent structures in partially magnetized ExB plasmas -- Community collaboration & lessons learned
Andrew T. Powis, Eduardo Ahedo, Alejandro Ãlvarez 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…