37 citations · 64 across the 9 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
physics.comp-ph2024★ 3 cited
AI-Machine Learning-Enabled Tokamak Digital Twin
William Tang, Eliot Feibush, Ge Dong +9
In addressing the Department of Energy's April, 2022 announcement of a Bold Decadal Vision for delivering a Fusion Pilot Plant by 2035, associated software tools need to be develop…
physics.comp-ph2024
FTL: Transfer Learning Nonlinear Plasma Dynamic Transitions in Low Dimensional Embeddings via Deep Neural Networks
Zhe Bai, Xishuo Wei, William Tang +3
Deep learning algorithms provide a new paradigm to study high-dimensional dynamical behaviors, such as those in fusion plasma systems. Development of novel model reduction methods,…
physics.plasm-ph2024
Saturation of fishbone instability through zonal flows driven by energetic particle transport in tokamak plasmas
G. Brochard, C. Liu, X. Wei +17
Gyrokinetic and kinetic-MHD simulations are performed for the fishbone instability in the DIII-D discharge #178631, chosen for validation of first-principles simulations to predict…