Theory Weekly Highlights for November 2020

November 06, 2020

A big data approach to validating tokamak transport models will be reported by Tom Neiser (ORISE) at the APS-DPP meeting next week. A database of 80000 time and space points was constructed from 2500 randomly selected plasma discharges in DIII-D. A set of good data selection filters was then applied to curate the dataset. The quasi-linear transport model TGLF was then successfully tested against this curated dataset. Machine learning tools are being used to identify any promising areas of improvement for the model.

November 13, 2020

Three invited talks were presented (remotely) at the APS Division of Plasma Physics conference this week:

Emily Belli presented an invited talk on “Strong Reversal of Simple Isotope Scaling Laws in Tokamak Edge Turbulence”

Valerie Izzo presented an invited talk on “MHD modeling of dispersive shell-pellet injection as an alternative disruption-mitigation technique”

Xiang Jian presented an invited talk on “Destabilization of High-Field-Side Micro-Instabilities by Large Shafranov Shift in Present and Future Devices”

Emily Belli’s research was also described in an APS press release “Turbulent Relationship: Understanding the Mysterious Hydrogen 'Isotope Effect' in Fusion Experiments” (see

In addition, Valerie Izzo’s research, together with that of Robert Wilcox, was described in an APS press release:
“Taming Fusion Plasmas with Ice Cubes and Diamond Shells” (see

These highlights are reports of research work in progress and are accordingly subject to change or modification