Exploring Magnetized Plasma Sheaths through Physics-Constrained Deep Learning

This project focuses on the development of a novel framework that will leverage state-of-the-art machine learning techniques to predict the behavior of a plasma sheath. Plasma sheaths characterize the boundary between a plasma and a material, and play a critical role in numerous applications including space propulsion, materials processing, and…