AI Microchip Inverse Design Simulator 500× Footprint Reduction

Silicon-on-Insulator (SOI) 2D Wavefield FDTD
Design Architecture
Component Landmark Presets
Laser Source & Frequency
Excitation Wavelength1550 nm
Source Wave Amplitude1.00
AI Topology Optimizer
Interactive Etching & Perturbation

Click or drag on the core simulation viewport to introduce manufacturing defects or custom dielectric scattering pixels in real time.

Silicon (n=3.48)
SiO₂ Cladding (n=1.44)
+E-Field Phase
-E-Field Phase
Core: 2.8 µm × 2.8 µm | Grid: 64×64
Input Port Mode: TE₀ Fund. Simulating Continuous Wave... PML Boundary: Active
Quantitative Optical Telemetry
Insertion Loss
0.14 dB
Target < 0.50 dB
Footprint Reduction
480×
vs. 1.34 mm² human design
Port 1 Transmission
48.6%
Port 2 Transmission
48.4%
Crosstalk Isolation / Extinction
-32.5 dB
Clean optical port mode decoupling
Comparative Scaling Benchmark
Traditional MMI / Bend: 1400 µm × 950 µm (1.33 mm²)
AI Inverse Topology: 2.8 µm × 2.8 µm (0.0078 mm²)
Silicon Real Estate Saved: 99.79% Area Savings
Fabrication Mask & Telemetry Suite

Inverse Nanophotonic Wavefield Optimization

Read the explanation

Traditional optical chip splitters rely on long multimode interference blocks spanning millimeters to divide light evenly between output ports. AI inverse design replaces broad geometries with submicron etched silicon pixels inside a compact two point eight micron square. Gradient iteration perturbs boundary pixels between silicon and silica, reshaping the continuous wavefield to maximize transmission to forty-eight percent per arm. Adjusting excitation wavelength or clicking the interactive etch tool deposits or removes dielectric pixels, letting you verify optical resilience against fabrication imperfections.

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