Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials-Reference-Cited by-同舟云学术

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Modeling and simulation of all-optical diffractive neural network based on nonlinear optical materials

Published:2021-12-22 Issue:1 Volume:47 Page:126
ISSN:0146-9592
Container-title:Optics Letters
language:en
Short-container-title:Opt. Lett.

Author:

Sun Yichen^ORCID,Dong Mingli,Yu Mingxin,Lu Lidan,Liang Shengjun,Xia Jiabin,Zhu Lianqing

Funder

the General Project of Science and Technology Plan of Beijing Municipal Education Commission

the Programme of Introducing Talents of Discipline to Universities

the Connotation Development Project of Beijing Information Science and Technology

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference13 articles.

1. All-optical machine learning using diffractive deep neural networks

2. Gradient-based learning applied to document recognition

3. Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks

4. Residual D2NN: training diffractive deep neural networks via learnable light shortcuts

5. Miniaturized Diffraction Grating Design and Processing for Deep Neural Network

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1. 2bit Nonlinear Diffractive Deep Neural Network (2bit ND2NN): A quantized nonlinear all-optical diffractive deep neural network implementation;Optics & Laser Technology;2024-10

2. Image authentication method based on Fourier zero-frequency replacement and single-pixel self-calibration imaging by diffractive deep neural network;Optics Express;2024-07-02

3. All‐Optical Physical Field Recognition Via Sparse Feature Extraction;Laser & Photonics Reviews;2024-06-22

4. Diffractive deep neural networks: Theories, optimization, and applications;Applied Physics Reviews;2024-06-01

5. Design and implementation of multi-task diffraction neural network system;CHIN J LIQ CRYST DIS;2024

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