Predict and Perfect
PreFab is a virtual nanofab designed to add fabrication-awareness to photonic integrated circuit design.
Available as a Python package
pip install prefab
Primary features
The Virtual Photonics Nanofab
Prediction of fabrication
Anticipate variations to facilitate rapid prototyping and assess performance before fabrication.
Correction of fabrication
Automatically optimize designs to ensure fabricated results match your vision, reducing discrepancies.
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
# 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)
The core technology
Foundry-specific models
We create virtual models simulating nanofabrication processes from various foundries, each with unique features.
EBL SOI
Read MorePrecision electron-beam lithography for rapid prototyping in silicon photonics, ensuring minimal variation and vertical sidewalls.
EBL SiN
Read MoreAdvanced, low-loss silicon nitride process utilizing electron-beam lithography, characterized by its angled sidewalls.
DUV SOIComing Soon
High-volume silicon photonics via deep ultraviolet lithography, offering high stability, lower fidelity, and angled sidewalls.
Stay updated
Latest From PreFab
Simulating Predicted Photonic Devices
Simulate and compare the performance of a prediction of fabrication for a Bragg grating.
Published on: 2024-11-06
Python for Photonics Development
Explore Python tools and libraries for efficient photonics development.
Published on: 2024-10-10
Generating SEM-Like Images
Generate SEM-like images of your predicted nanofabrication results.
Published on: 2024-10-01
