Physics-aware Roughness Optimization for Diffractive Optical Neural Networks-Reference-Cited by-同舟云学术

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Physics-aware Roughness Optimization for Diffractive Optical Neural Networks

Published:2023-07-09 Issue: Volume: Page:
ISSN:
Container-title:2023 60th ACM/IEEE Design Automation Conference (DAC)
language:
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Author:

Zhou Shanglin¹,Li Yingjie²,Lou Minhan²,Gao Weilu²,Shi Zhijie¹,Yu Cunxi¹,Ding Caiwen¹

Affiliation:

1. University of Connecticut

2. University of Utah

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10247654/10247655/10247715.pdf?arnumber=10247715

Reference33 articles.

1. EVE

2. Binary Complex Neural Network Acceleration on FPGA : (Invited Paper)

3. Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices

4. Diffraction, Fourier Optics and Imaging

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

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Resampling the optical transmission matrix to accelerate the training of the diffractive deep neural network;Applied Optics;2024-07-05

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