Machine Learning Transforms Langmuir Probe Plasma Diagnostics
Cambridge Journal of Plasma Physics publishes breakthrough research demonstrating how machine learning overcomes traditional analytic approximations for improved plasma parameter inference.
A new approach combining kinetic simulations with machine learning provides practical solutions for Langmuir probe plasma diagnostics beyond orbital motion limited conditions, achieving inference accuracy within 2%. The technique is particularly suitable for aerospace applications such as Hall thrusters.




