Modeling Energetic Particle Instabilities in Integrated reactor design workflows

To demonstrate an economically viable fusion energy source, future fusion reactors must minimize the transport of self-heating alpha particles caused by interactions with unstable Alfvén eigenmodes. To support this goal, we have integrated our linear instability code, FAR3d into the IPS-FASTRAN workflow to enable self-consistent calculations of Alfvénic instabilities during iterative reactor design optimization. The new FAR3d component automatically generates the required input profiles—such as density and temperature of various species—from plasma state files, and computes the magnetic equilibrium in FAR3d-specific Boozer coordinates using GEQDSK files. FAR3d is then executed to analyze Alfvén eigenmode activity across a range of toroidal mode numbers. This integrated capability enables the down-selection of reactor scenarios predicted by IPS-FASTRAN to those with minimal Alfvénic activity, thereby reducing alpha particle transport and guiding the design of efficient, high-performance fusion reactors.