activity
20212025
most citedDeep learning based surrogate model for first-principles global simulations of fusion plasmas

37 citations · 49 across the 6 of their papers we have counts for

collaborators

7 papers

physics.plasm-ph2025★ 7 cited

Gyrokinetic simulations of the effects of magnetic islands on microturbulence in KSTAR

Xishuo Wei, Javier H Nicolau, Gyungjin Choi +8

Gyrokinetic simulations are utilized to study effects of magnetic islands on the ion temperature gradient (ITG) turbulence in the KSTAR tokamak with resonant magnetic perturbations…

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…

physics.plasm-ph2023

Helically-trapped electron mode in optimized stellarator

Javier H Nicolau, Xishuo Wei, Pengfei Liu +2

Global gyrokinetic simulations find a strong helically-trapped electron mode (HTEM) driven by density gradients in the optimized stellarator W7-X fusion experiment. The eigenmode s…

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★ 2 cited

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…