Predict and Perfect

PreFab is a virtual nanofab designed to add fabrication-awareness to photonic integrated circuit design.

Available as a Python package

Bash

pip install prefab

Primary features

The Virtual Photonics Nanofab

Prediction of fabrication

Anticipate variations to facilitate rapid prototyping and assess performance before fabrication.

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Correction of fabrication

Automatically optimize designs to ensure fabricated results match your vision, reducing discrepancies.

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Rapid results

Modern cloud GPUs return predictions in seconds.

Certain uncertainty

Quantify and mitigate fabrication-induced stochastic variations.

3D geometries

Predict and compensate for sidewall angle variation.

Fab-specific models

Utilize models specific to your fabrication process.

User interface (API)

Precision Engineering With Python

PreFab Code Snippets

Python

# Run predictions in 4 lines of code (and within seconds)
import prefab as pf

device = pf.shapes.target(width=300, arm_width=60)
model = pf.models["ANT_NanoSOI"]  # <- choose your fab model
prediction = device.predict(model=model)

PreFab Code Snippets

Python

# Run predictions in 4 lines of code (and within seconds)
import prefab as pf

device = pf.shapes.target(width=300, arm_width=60)
model = pf.models["ANT_NanoSOI"]  # <- choose your fab model
prediction = device.predict(model=model)