SCPN Fusion Core: Tokamak Plasma Physics Simulation and Neuro-Symbolic Control Suite
tokamakfusionplasma physicsGrad-ShafranovMHDneuro-symbolicspiking neural networksreactor design
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.
Links
Evidence bundles
The following bundles are linked from this publication. Each one carries a
studio.*.v1 envelope with claim boundary, evidence kind, and empirical level.
Equilibrium reconstruction — bounded-model, level 2
Studio: Fusion Studio
Download RO-Crate /evidence/scpn-fusion-core.rocrate.zip