
We present a computational optimization framework for REBCO high-temperature superconducting coils combining electromagnetic-thermal-mechanical modeling validated through COMSOL Multiphysics and FEniCSx finite element analysis. The approach demonstrates systematic scaling from precision baseline configurations (2.1 T, 0.01% ripple) to high-field operation (7.07 T, 0.16% ripple) through multi-objective parameter optimization. Computational results project multi-tape conductor designs achieving 30% current utilization, thermal margins of 74.5 K, and mechanical reinforcement strategies reducing stress from 179 MPa to 35 MPa. Cross-platform FEA validation shows < 1% solver variance for electromagnetic and stress analysis. All results represent computational projections requiring experimental validation.
REBCO, antimatter physics, Electromagnetic–thermal–mechanical, magnetic confinement, Finite Element Analysis, FEniCSx, Superconducting coils, fusion energy, High-temperature superconductors, Monte Carlo analysis, Coil optimization, COMSOL Multiphysics, Helmholtz coils
REBCO, antimatter physics, Electromagnetic–thermal–mechanical, magnetic confinement, Finite Element Analysis, FEniCSx, Superconducting coils, fusion energy, High-temperature superconductors, Monte Carlo analysis, Coil optimization, COMSOL Multiphysics, Helmholtz coils
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