FUSE: digital twin framework for tokamak fusion power plant design and operations

The FUsion Synthesis Engine (FUSE) integrates first-principle, machine-learning, and reduced models into a comprehensive simulation tool for physics, engineering, control, costing, and risk assessment. Originally designed for integrated FPP machine design, FUSE is now being extended to model the time evolution of the plasma and plant, supporting simulations in both feedforward and feedback modes with controllers. FUSE employs a genetic algorithm to identify viable machine designs that optimize performance, cost, and risk objectives while adhering to physics, engineering constraints, and stakeholder requirements. Comparative trade studies on positive and negative triangularity FPP designs, along with pulse trajectory optimization to maximize ITER fusion burn, will be discussed. Coupling FUSE to the TokSys control environment is under way to enable operators to test control strategies, predict outcomes, and adjust parameters in a risk-free virtual environment. Initial results will be discussed. FUSE exemplifies the potential of digital twins in fusion research, supporting decision-making, and ultimately accelerating fusion commercialization.