94 citations · 107 across the 5 of their papers we have counts for
5 papers
Microtearding mode study in NSTX using machine learning enhanced reduced model
Max T. Curie, Joel Larakers, Jason Parisi +18
This article presents a survey of NSTX cases to study the microtearing mode (MTM) stabilities using the newly developed global reduced model for Slab-Like Microtearing modes (SLiM)…
Compressional Alfvén eigenmodes excited by runaway electrons
Chang Liu, Dylan P. Brennan, Andrey Lvovskiy +3
Compressional Alfvén eigenmodes (CAE) driven by energetic ions have been observed in magnetic fusion experiments. In this paper, we show that the modes can also be driven by runawa…
Machine learning characterisation of Alfvénic and sub-Alfvénic chirping and correlation with fast ion loss at NSTX
Benjamin J. Q. Woods, Vinícius N. Duarte, Eric D. Fredrickson +3
Abrupt large events in the Alfvénic and sub-Alfvénic frequency bands in tokamaks are typically correlated with increased fast ion loss. Here, machine learning is used to speed up t…
Study of the likelihood of Alfvénic mode bifurcation in NSTX and predictions for ITER baseline scenarios
Vinicius Duarte, Nikolai Gorelenkov, Mirjam Schneller +3
Rare Alfvénic wave transitions between fixed-frequency and chirping phases are identified in NSTX, where Alfvénic waves are normally observed to exhibit either chirping or avalanch…
Energetic particle instabilities in fusion plasmas
S E Sharapov, B Alper, H L Berk +41
Remarkable progress has been made in diagnosing energetic particle instabilities on present-day machines and in establishing a theoretical framework for describing them. This overv…