SCPN Fusion Core: Tokamak Plasma Physics Simulation and Neuro-Symbolic Control Suite
Abstract
A comprehensive tokamak plasma physics simulation and control suite with 54 Python modules, 10 Rust crates, 26 simulation modes, and a neuro-symbolic Petri net to stochastic neuron compiler. Features Grad-Shafranov equilibrium, MHD stability, transport, RF heating, neutronics, disruption prediction, and the MVR-0.96 compact reactor optimizer with optional SC-NeuroCore SNN integration.
Fields of Study & Subjects
Magnetic confinement fusion research
Fusion and Plasma Physics Studies
Fusion materials and technologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 March 2026
- Language
- EN