Physics‐Aware Machine Learning and Adversarial Attack in Complex‐Valued Reconfigurable Diffractive All‐Optical Neural Network-Reference-Cited by-同舟云学术

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Physics‐Aware Machine Learning and Adversarial Attack in Complex‐Valued Reconfigurable Diffractive All‐Optical Neural Network

Published:2022-08-15 Issue:12 Volume:16 Page:2200348
ISSN:1863-8880
Container-title:Laser & Photonics Reviews
language:en
Short-container-title:Laser & Photonics Reviews

Author:

Chen Ruiyang¹,Li Yingjie¹,Lou Minhan¹,Fan Jichao¹,Tang Yingheng¹²,Sensale‐Rodriguez Berardi¹,Yu Cunxi¹,Gao Weilu¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering University of Utah Salt Lake City UT 84112 USA

2. School of Electrical and Computer Engineering and Birck Nanotechnology Center Purdue University West Lafeyette IN 47907 USA

Funder

University of Utah

National Science Foundation

Publisher

Wiley

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/lpor.202200348

Reference45 articles.

1. Deep learning

2. Weighing in on photonic-based machine learning for automotive mobility

3. Machine learning for molecular and materials science

4. Improved protein structure prediction using potentials from deep learning

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1. Enhanced plasmonic absorption using MIM ring resonator structures for optical detector applications;Physica Scripta;2024-07-26

2. Inverse design of polymorphic reconfigurable metamaterial absorbers based on a dual-input neural network;Journal of Physics D: Applied Physics;2024-04-17

3. Space‐Time Projection Enabled Ultrafast All‐Optical Diffractive Neural Network;Laser & Photonics Reviews;2024-03-26

4. Multi-Layered Metamaterial Absorber: Electromagnetic and Thermal Characterization;Photonics;2024-02-28

5. Scientific Computing with Diffractive Optical Neural Networks;CLEO 2024;2024

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