PreFab-Photonics/PreFab
Artificial nanofabrication of integrated photonic circuits using deep learning
PreFab is a virtual nanofabrication environment that helps photonic circuit designers predict and correct for tiny structural errors before physical fabrication. You provide your intended integrated photonic circuit design, and it predicts how process variations like corner rounding or line loss might affect it. It then outputs a corrected design that minimizes these variations, reducing performance differences between your simulations and the actual devices. This tool is for engineers and researchers who design and prototype integrated photonic devices.
Available on PyPI.
Use this if you design integrated photonic circuits and need to minimize fabrication errors and improve the predictability of your device's performance.
Not ideal if you are working with macro-scale manufacturing or optical systems that do not involve integrated photonic nanofabrication.
Stars
71
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11
Language
Python
License
LGPL-2.1
Category
Last pushed
Feb 04, 2026
Commits (30d)
0
Dependencies
11
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