104 citations · 372 across the 16 of their papers we have counts for
8 papers · 1 filter
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…
Implementation of AI/Deep Learning Disruption Predictor into a Plasma Control System
William Tang, Ge Dong, Jayson Barr +17
This paper reports on advances to the state-of-the-art deep-learning disruption prediction models based on the Fusion Recurrent Neural Network (FRNN) originally introduced a 2019 N…
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…
Degenerate Variational Integrators for Magnetic Field Line Flow and Guiding Center Trajectories
C. Leland Ellison, John M. Finn, Joshua W. Burby +3
Symplectic integrators offer many advantages for the numerical solution of Hamiltonian differential equations, including bounded energy error and the preservation of invariant sets…
Gauge properties of the guiding center variational symplectic integrator
Jonathan Squire, Hong Qin, William M. Tang
Variational symplectic algorithms have recently been developed for carrying out long-time simulation of charged particles in magnetic fields. As a direct consequence of their deriv…
Geometric integration of the Vlasov-Maxwell system with a variational particle-in-cell scheme
Jonathan Squire, Hong Qin, William M. Tang
A fully variational, unstructured, electromagnetic particle-in-cell integrator is developed for integration of the Vlasov-Maxwell equations. Using the formalism of Discrete Exterio…
The Hamiltonian structure and Euler-Poincaré formulation of the Vlasov-Maxwell and gyrokinetic systems
J. Squire, H. Qin, W. M. Tang +1
We present a new variational principle for the gyrokinetic system, similar to the Maxwell-Vlasov action presented in Ref. 1. The variational principle is in the Eulerian frame and…
Simulating Gyrokinetic Microinstabilities in Stellarator Geometry with GS2
J. A. Baumgaertel, E. A. Belli, W. Dorland +6
The nonlinear gyrokinetic code GS2 has been extended to treat non-axisymmetric stellarator geometry. Electromagnetic perturbations and multiple trapped particle regions are allowed…