87 citations · 87 across the 8 of their papers we have counts for
8 papers
Neural operator transformers capture bifurcating drift wave turbulence in fusion plasma simulations
Johannes J. van de Wetering, Ben Zhu
Self-consistent modeling of turbulence-driven transport is critical for optimizing confinement in magnetically confined fusion plasmas, such as in tokamaks and stellarators. In par…
Drift-reduced fluid modeling of rapidly rotating plasmas
Edward A. Tocco, Benjamin D. Dudson, Ian G. Abel +1
In this paper, we investigate the effects of rapid rotation (Mach number M ~ 1) on plasma fluid stability, focusing specifically on Kelvin-Helmholtz (KH) and interchange instabilit…
Triggers for plasma detachment bifurcation in the edge divertor region of tokamaks
Menglong Zhao, Thomas Rognlien, Ben Zhu +3
We report the discovery of the trigger for detachment bifurcation phenomenon in tokamak divertors, revealed through steady-state and time-dependent UEDGE simulations: The observed…
Physics insights from a large-scale 2D UEDGE simulation database for detachment control in KSTAR
Menglong Zhao, Xueqiao Xu, Ben Zhu +8
A large-scale database of two-dimensional UEDGE simulations has been developed to study detachment physics in KSTAR and to support surrogate models for control applications. Nearly…
Detachment control in KSTAR with Tungsten divertor
Anchal Gupta, David Eldon, Eunnam Bang +7
KSTAR has recently undergone an upgrade to use a new Tungsten divertor to run experiments in ITER-relevant scenarios. Even with a high melting point of Tungsten, it is important to…
Latent Space Mapping: Revolutionizing Predictive Models for Divertor Plasma Detachment Control
Ben Zhu, Menglong Zhao, Xue-Qiao Xu +4
The inherent complexity of boundary plasma, characterized by multi-scale and multi-physics challenges, has historically restricted high-fidelity simulations to scientific research…
Theoretical and Global Simulation Analysis of Collisional Microtearing
Kaixuan Fan, Xue-Qiao Xu, Ben Zhu +3
This study delves into Microtearing Modes (MTMs) in tokamak plasmas, employing advanced simulations within the BOUT++ framework. The research, centering on collisional MTMs influen…
Uncovering turbulent plasma dynamics via deep learning from partial observations
Abhilash Mathews, Manaure Francisquez, Jerry Hughes +3
One of the most intensely studied aspects of magnetic confinement fusion is edge plasma turbulence which is critical to reactor performance and operation. Drift-reduced Braginskii…