Abstract Details
Abstracts
Author: Nathaniel M Ferraro
Requested Type: Poster
Submitted: 2026-03-12 09:51:15
Co-authors: C. Clauser, D. Curreli, Y. Ghai, C. Hansen, M. Hoppe, V. Izzo, R. Jorge, S. Klasky, Y. Liu, B. Lyons, J. Merson, J. Varela Rodriguez, and the MiRACL Team
Contact Info:
Princeton Plasma Physics Laboratory
100 Stellarator Rd
Princeton, NJ 08543
United States
Abstract Text:
An overview of the MiRACL FIRE Collaborative is presented. The abrupt loss of stored thermal energy and free magnetic energy poses a major risk that must be assessed, and potentially mitigated, in the design of any reactor-scale magnetic confinement facility. The MiRACL project seeks to deliver validated workflows for assessing these risks, and to apply these workflows to develop, evaluate, and optimize methods to mitigate them. The three main tasks of the project are to 1) quantify risks from abrupt confinement loss; 2) evaluate technologies for avoidance and mitigation; and 3) deploy codes, data, and workflows for community use. An area of particular emphasis is the implementation of direct connections between validated physics tools and engineering models to enable fast and accurate evaluation of detailed facility designs. New such capabilities under development include creating meshes from CAD models for global extended-MHD simulations; connecting these simulations to detailed models of conducting structures to calculate current paths and forces; interfacing high-fidelity calculations of thermal and energetic particle fluxes to CAD models of plasma facing components using the HEAT code; and adapting HEAT to stellarator geometry. Quantities of interest include forces on conducting structures, thermal loads, current quench durations, runaway electron current limits, and thresholds for material damage. Workflows developed under this project will be open, documented, and maintained on common computing platforms. This FIRE Collaborative is intended to serve as a resource to the community, providing expertise in physics and modeling capabilities that can assist stakeholders in addressing critical problems associated with abrupt confinement loss.
Characterization: 5.0
Comments: