SOI Nanophotonics

AI Photonic Chip Inverse Designer

Click & Drag to perturb silicon permittivity voxels Mode: Active FDTD Wave Sim
Voxel Brush:
Gen 100

Real-Time Diagnostics

AI Pareto Optimum
Insertion Loss (1310nm) 0.42 dB Transmission: 90.8%
Insertion Loss (1550nm) 0.58 dB Transmission: 87.5%
Crosstalk Suppression -26.4 dB Isolation Port 1 vs 2
Wave Routing Fidelity 97.8% Phase & Mode Overlap
Topology Benchmark 43.9x Area Reduction
Human Classical MZI 150.0 µm length (450 µm²)
AI Inverse Topology 3.2 µm × 3.2 µm (10.24 µm²)
Grid Voxel Resolution 64 × 64 (50 nm pixel pitch)

Mechanism: Conventional photonic design enforces smooth rectilinear curves to avoid scattering. AI inverse gradient algorithms intentionally exploit sub-wavelength multiple scattering to engineer constructive interference within micrometers.

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