Potential 3rd year special topics
Plasma applications and technology
Apply machine learning techniques to assessment of the data quality in plasma fusion experiments, such as the H-1 Heliac.
Using a small electron beam, trace the magnetic field lines in H-1, to investigate changes in magnetic geometry, transition to chaos.
Datamining techniques extract information from H-1 essential to understanding instabilities that threaten the viability of fusion as the ultimate clean energy source.
This project is concerned with developing radio-frequency negative hydrogen ion sources for neutral beam injection heating of fusion plasmas.
This project is concerned with bridging the gap between research on atom and ion interactions with perfect surfaces, and research in fusion reactors involving complex plasma-wall interaction phenomena.