PIC-Flow applies conditional flow matching with a real-valued U-Net and interface-masked Helmholtz residual loss to predict electromagnetic fields in photonic devices, generalizing to held-out device classes beyond its training set.
Without phase anchoring, the same device at the same wavelength could produce training targets with different global phases, preventing the model from learning a consistent mapping
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physics.optics 1years
2026 1verdicts
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Physics-Based Flow Matching for Full-Field Prediction of Silicon Photonic Devices
PIC-Flow applies conditional flow matching with a real-valued U-Net and interface-masked Helmholtz residual loss to predict electromagnetic fields in photonic devices, generalizing to held-out device classes beyond its training set.