Neural-Network-Based Free-Boundary Equilibrium Solver to Enable Fast Scenario Simulations
A numerical free-boundary equilibrium (FBE) solver, based on finite-difference and Picard-
iteration methods, has been recently developed on a rectangular grid to compute the …
iteration methods, has been recently developed on a rectangular grid to compute the …
Fast Neural-Network Surrogate Model of the Updated Multi-Mode Anomalous Transport Module for NSTX-U
The multimode module (MMM) is a theory-based anomalous transport model that is used in
integrated codes to predict the electron/ion temperature, electron/impurity density, and …
integrated codes to predict the electron/ion temperature, electron/impurity density, and …
Safety Factor Profile Regulation via Self-Triggered Model Predictive Control in the EAST Tokamak
Z Wang, ST Paruchuri, L Yang… - 2024 American Control …, 2024 - ieeexplore.ieee.org
The tokamak, a viable option for harnessing nuclear fusion energy, employs strong helical
magnetic fields to confine a plasma (ionized gas) within a toroidal vacuum chamber. Optimal …
magnetic fields to confine a plasma (ionized gas) within a toroidal vacuum chamber. Optimal …
Data-Driven Simulation Model for Tokamak Magnet Coils
B Li, Z Yang, Y Chen, XQ Ji - papers.ssrn.com
In fusion research, the tokamak is vital for stabilizing plasma and fostering nuclear fusion
through magnetic confinement. The digital tokamak, which has emerged with increased …
through magnetic confinement. The digital tokamak, which has emerged with increased …