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Stellarator Design Exploration Using Symbolic-Regression Neutronics Surrogates

  • Enrique Miralles-Dolz
  • , Michael Churchill
  • , Jacob Schwartz
  • , Javier Hidalgo-Salaverri
  • , Connor Moreno
  • , Tim Bohm
  • , Paul Wilson

Research output: Contribution to journalArticlepeer-review

Abstract

Systems codes require fast, simplified models to rapidly evaluate fusion power plant concepts, but neutronics analyses are often a computational bottleneck. To address this, surrogate models for key neutronics responses have been developed using 3-D neutronics-ready models built with the open-source code ParaStell from a database of stellarator equilibria. Neutronics responses such as tritium breeding ratio (TBR), nuclear heating, and neutron-induced radiation damage displacements per atom (dpa) were simulated using OpenMC. Through sensitivity analysis and symbolic regression (SR), simple power-law formulas were derived connecting these neutronics responses to global stellarator parameters, including fusion power, plasma surface area, and plasma elongation. Validation shows these formulas can predict the simulation results with low error, enabling quick and accurate assessment of neutronics requirements in stellarator design exploration activities with systems codes.

Original languageEnglish (US)
JournalIEEE Transactions on Plasma Science
DOIs
StateAccepted/In press - 2026

All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Condensed Matter Physics

Keywords

  • Modeling
  • neutronics
  • stellarator
  • systems codes

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