On-chip diffractive optical neural networks (DONNs) bring the advantages of parallel
processing and low energy consumption. However, an accurate representation of the optical …

A new method to improve the integration level of an on-chip diffractive optical neural network
(DONN) is proposed based on a standard silicon-on-insulator (SOI) platform. The metaline …

Abstract Machine learning technologies have been extensively applied in high-performance
information-processing fields. However, the computation rate of existing hardware is …

Optical machine learning offers advantages in terms of power efficiency, scalability, and
computation speed. Recently, an optical machine learning method based on diffractive deep …

A partitionable adaptive multilayer diffractive optical neural network is constructed to
address setup issues in multilayer diffractive optical neural network systems and the difficulty …

Integrated diffractive optical neural networks (DONNs) have significant potential for complex
machine learning tasks with high speed and ultralow energy consumption. However, the on …

Diffractive optical neural networks (DONNs) are emerging as high‐throughput and energy‐
efficient hardware platforms to perform all‐optical machine learning (ML) in machine vision …

Miniature on-chip diffractive optical neural network design Page 1 Miniature on-chip diffractive
optical neural network design Tingzhao Fu1,Wencan Liu1,Yuyao Huang1,Run Sun1,Honghao …

Integrated diffractive optical neural networks (DONNs) have significant potential for complex
machine learning tasks with high speed and ultralow energy consumption. However, the on …

Diffractive neural networks (DNNs) are emerging as a new machine learning hardware
based on optical diffraction with parallel and high‐throughput information processing. The …