3 papers
physics.plasm-ph2026
Areal-time disruption prediction and mitigation system for the EXL-50U spherical torus
J. P. Zhou, S. F. Liu, J. Q. Cai +10
This work presents a real-time disruption prediction and mitigation system developed for high-current operations in the EXL-50U Spherical Torus. By leveraging Reflective Memory (RF…
physics.plasm-ph2026
A Novel Numerical Algorithms Optimization Method with Machine Learning Frameworks: Application on Real-time Plasmas Equilibrium Reconstruction in EXL-50U Spherical Torus
G. H. Zheng, S. F. Liu, X. Gu +14
This work proposes for the first time a novel optimization method for numerical algorithms, which takes advantages of machine learning frameworks PyTorch and TensorRT, leveraging t…
physics.plasm-ph2025
EFIT-mini: An Embedded, Multi-task Neural Network-driven Equilibrium Inversion Algorithm
Guohui Zheng, Songfen Liu, Huasheng Xie +11
Equilibrium reconstruction, which infers internal magnetic fields, plasmas current, and pressure distributions in tokamaks using diagnostic and coil current data, is crucial for co…