Application of Machine Learning and Artificial Intelligence to Extend EFIT Equilibrium Reconstruction

L. L. Lao,S. Kruger,C. Akcay,P. Balaprakash,T. A. Bechtel,E. Howell,J. Koo,J. Leddy,M. Leinhauser,Y. Q. Liu,S. Madireddy,J. McClenaghan, D. Orozco,A. Pankin,D. Schissel,S. Smith, X. Sun,S. Williams

PLASMA PHYSICS AND CONTROLLED FUSION（2022）

Cited 37|Views72

Key words

tokamak equilibrium reconstruction,machine learning,artificial intelligence,Gaussian process,model order reduction,neural network,3D perturbed equilibrium

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