Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics

Understand

Reduced order models are becoming increasingly important for rendering complex and multiscale spatio-temporal dynamics computationally tractable.

• The computational efficiency of such surrogate models is especially important for design, exhaustive exploration and physical understanding.
• Plasma simulations, in particular those applied to the study of ${\bf E}\times {\bf B}$ plasma discharges and technologies, such as Hall thrusters, require substantial computational resources in order to resolve the multidimentional dynamics that span across wide spatial and temporal scales.
• Although high-fidelity computational tools are available to simulate such systems over limited conditions and in highly simplified geometries, simulations of full-size systems and/or extensive parametric studies over many geometric configurations and under different physical conditions are computationally intractable with conventional numerical tools.