37 citations · 40 across the 2 of their papers we have counts for
3 papers
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.plasm-ph2021★ 37 cited
Deep learning based surrogate model for first-principles global simulations of fusion plasmas
Ge Dong, Xishuo Wei, Jian Bao +3
The accurate identification and control of plasma instabilities is important for successful fusion experiments. First-principles simulations which can provide physics based instabi…
physics.plasm-ph2021
Role of wave-particle resonance in turbulent transport in toroidal plasmas
Ge Dong, Zhihong Lin
Wave-particle interaction in toroidal plasmas is an essential transport mechanism in drift wave instability-driven microturbulence. In tokamkas, different wave-particle resonance c…