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PNN

Photonic neural network framework

PNN – Photonic Neural Network Framework

This repository contains a hardware-aware photonic neural network (PNN) framework integrating experimentally measured nonlinear 2D material responses for weight update and activation modeling.

Objectives

  • Integrate experimentally extracted phase–voltage characteristics of 2D materials
  • Model hardware non-idealities in photonic neural networks
  • Enable co-design between photonic devices and AI training
  • Develop next-generation energy-efficient photonic AI systems

Structure

  • device_models/ – Nonlinear 2D material models (CIPS, α-In₂Se₃, etc.)
  • training/ – ONN training pipelines
  • notebooks/ – Experimental notebooks and simulations
  • experiments/ – Reproducible experiments

Status

Early-stage development – actively evolving.