38 citations · 92 across the 4 of their papers we have counts for
4 papers
Data-driven model for divertor plasma detachment prediction
Ben Zhu, Menglong Zhao, Harsh Bhatia +5
We present a fast and accurate data-driven surrogate model for divertor plasma detachment prediction leveraging the latent feature space concept in machine learning research. Our a…
Drift reduced Landau fluid model for magnetized plasma turbulence simulations in BOUT++ framework
Ben Zhu, Haruki Seto, Xue-qiao Xu +1
Recently the drift-reduced Landau fluid six-field turbulence model within the BOUT++ framework has been upgraded. In particular, this new model employs a new normalization, adds a…
Generalized slab universal instability and its appearance in pair plasma
Ben Zhu, Manaure Francisquez, Barrett N. Rogers +1
A generalized linear dispersion relation of electromagnetic slab universal modes is derived, taking into account arbitrary ion charge state, electron finite Larmor radius (FLR) eff…
Machine Learning Surrogate Models for Landau Fluid Closure
Chenhao Ma, Ben Zhu, Xue-qiao Xu +1
The first result of applying the machine/deep learning technique to the fluid closure problem is presented in this paper. As a start, three different types of neural networks (mult…