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From random patterns to nanophotonic structures: Electromagnetic field prediction without retraining
Electromagnetic surrogate solvers can accelerate nanophotonic design, but their broader use requires accurate predictions for unseen geometries and material arrangements. Training on random dielectric patterns enables direct prediction of complex electromagnetic fields in diverse two-dimensional nan
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