Key features: - 26 simulation modes (equilibrium, transport, optimizer, flight simulator, neuro-control, etc.) - Neuro-symbolic compiler: Petri nets → stochastic LIF neurons (sub-ms latency, 40%+ bit-flip resilience) - Validation: SPARC high-field equilibria + ITPA H-mode database (20 entries, 10 machines) + IPB98(y,2) scaling - Multigrid solvers, property-based testing, Rust acceleration, Streamlit dashboard - Install: pip install scpn-fusion
GitHub: https://github.com/anulum/scpn-fusion-core
Built to explore neuromorphic approaches to fusion reactor control. Happy to answer questions about the models, compiler, validation, or performance.