37 citations · 64 across the 9 of their papers we have counts for
10 papers
Low-dimensional geometry learning for turbulence prediction in optimized stellarators
Xishuo Wei, Handi Huang, Haotian Chen +4
The optimized stellarator is an attractive concept for which the averaged particle radial drift is zero, and the single particle loss can be significantly reduced. But for the reac…
Geometry effects on zonal flow dynamics and turbulent transport in optimized stellarators
Haotian Chen, Xishuo Wei, Hongxuan Zhu +1
Global gyrokinetic simulations find a strong suppression of ion temperature gradient (ITG) turbulence by zonal flows in stellarators optimized for neoclassical transport. The reduc…
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…
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…
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,…
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…
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…
Reconstruction of tokamak plasma safety factor profile using deep learning
Xishuo Wei, Ge Dong, Shuying Sun +3
In tokamak operations, accurate equilibrium reconstruction is essential for reliable real-time control and realistic post-shot instability analysis. The safety factor (q) profile d…
Formulation and verification of multiscale gyrokinetic simulation of kinetic-MHD processes in toroidal plasmas
Xishuo Wei, Pengfei Liu, Gyungjin Choi +11
A comprehensive gyrokinetic simulation model has been implemented in the global toroidal gyrokinetic code (GTC) and verified for studying low-frequency waves and turbulence in magn…
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…