Generative Chip Topology Studio | AI Micro-Photonics Inverse Design

Design Target Iter: 22/25

Component Archetype

Operating Wavelength 1550 nm

Fab Min Feature Limit 80 nm

Dielectric Brush Silicon (Si)

Adjoint Optimizer

Field Display Mode

Si (n=3.48) Clad (n=1.44) |E| Field

1×2 Splitter (2.5×2.5µm)

Target η: 95.0%

Transmission & S-Parameters Total T: 94.3%

Port 1 Transmission (|S₂₁|²)

47.2%

Insertion loss: -3.26 dB

Port 2 Transmission (|S₃₁|²)

47.1%

Phase balance: 0.02 rad

Optimized Insertion Loss

-0.28 dB

Scattering back-refl: < -28 dB

Traditional Y-Branch Loss

-2.45 dB

Radiation mode leakage

Physical Metric Benchmarks

Footprint Area Reduction
480× Smaller
AI: 6.25 µm² vs Human MMI: 3,000 µm²

Min Feature Size Verification

80 nm Valid

193nm immersion DUV DRC compliant

Optimization Convergence

22 iters

Adjoint forward-backward gradient descent

Organic Topology Insights

AI inverse design creates counter-intuitive grayscale permittivity maps that collapse into binary silicon sub-wavelength scattering pillars. These nano-scale structures induce controlled destructive interference in back-scattered radiation, guiding light with ultra-low insertion loss across micrometer-scale footprints beyond human intuition.