SCPN Fusion Core is an advanced simulation and control suite designed for tokamak reactors, providing comprehensive capabilities in plasma physics and neuromorphic control. This project models the entire lifecycle of a fusion reactor, covering essential processes such as Grad-Shafranov equilibrium, magnetohydrodynamic (MHD) stability, transport phenomena, heating mechanisms, neutronics, and real-time disruption prediction.

Key Features

• Comprehensive Modeling: The suite integrates various plasma physics engines and control systems, enabling detailed simulation of fusion reactor dynamics and operational scenarios.
• Neuro-Symbolic Compilation: Utilizing formal verification contracts and a Petri net to stochastic neuron compilation pipeline, the system supports advanced plasma control with low latency.
• Rust Acceleration: Enhance performance through optional Rust extensions, facilitating high-performance computing while maintaining Python compatibility.
• Multi-Objective Design Exploration: The compact reactor optimizer identifies efficient tokamak designs with a focus on achieving ignition.

Architecture Overview

The project's structure includes key modules:

• Core: Engines for plasma physics, including solvers for Grad-Shafranov and transport, MHD simulators, and models for heating and divertor thermal loads.
• Control: Tools for reactor management, including a real-time flight simulator, a digital twin, and model-predictive controllers.
• Nuclear: Modules focused on important nuclear engineering challenges such as plasma-wall interactions and tritium breeding ratios.
• Diagnostics: Facilities for synthetic diagnostics capable of offering insights into reactor performance.
• High-Performance Computing: Connects Rust and Python for optimized execution without external dependencies.

Simulation Modes

SCPN Fusion Core supports 26 different simulation modes, each tailored to specific aspects of fusion reactor operation and research, from real-time flight simulations to detailed nuclear engineering assessments. These modes allow exploration and experimentation across different reactor configurations and operational strategies.

Validation Against Real Data

The project includes a robust validation framework against experimental data from existing tokamaks, ensuring the accuracy and reliability of simulations. Key datasets from SPARC and ITER provide essential references for verifying model outputs.

Tutorials and Documentation

Extensive resources, including detailed tutorials and scientific findings, support users in getting started and maximizing the capabilities of SCPN Fusion Core.

Citation

Researchers interested in utilizing SCPN Fusion Core in their work can cite it properly using the provided BibTeX entry, ensuring recognition of the tool and its contributions to the field of plasma physics and fusion energy research.

SCPN Fusion Core is essential for scientists and engineers aiming to enhance their understanding of fusion reactor dynamics and contribute to advancements in sustainable fusion energy development.