3 papers
cs.LG2025
Integrated Data Analysis of Plasma Electron Density Profile Tomography for HL-3 with Gaussian Process Regression
Cong Wang, Jiahong Chen, Renjie Yang +8
An integrated data analysis model based on Gaussian Process Regression is proposed for plasma electron density profile tomography in the HL-3 tokamak. The model combines line-integ…
cs.LG2024
Physics-Informed Deep Learning Model for Line-integral Diagnostics Across Fusion Devices
Cong Wang, Weizhe Yang, Haiping Wang +10
Rapid reconstruction of 2D plasma profiles from line-integral measurements is important in nuclear fusion. This paper introduces a physics-informed model architecture called Onion,…
physics.plasm-ph2024
Prediction of Fishbone Linear Instability in Tokamaks with Machine Learning Methods
Z. Y. Liu, H. R. Qiu, G. Y. Fu +4
A machine learning based surrogate model for fishbone linear instability in tokamaks is constructed. Hybrid simulations with the kinetic-magnetohydrodynamic (MHD) code M3D-K is use…