Non-Volatile Reconfigurable Optical Digital Diffractive Neural Network Based on Phase Change Material
Optical diffractive neural networks have sparked extensive research due to their low power consumption and high-speed capabilities in image processing. Here we propose and design a reconfigurable all-optical diffractive neural network structure with digital non-volatile optical neurons. The optical...
Saved in:
| Main Authors: | Qiaomu Hu, Jingyu Zhao, Chu Wu, Rui Zeng, Xiaobing Zhou, Shuang Zheng, Minming Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
|
| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10770557/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optical phased array receiver with mode diversity and coherent combination
by: Zhang Enge, et al.
Published: (2025-03-01) -
Resonant multilevel optical switching with phase change material GST
by: Wu Di, et al.
Published: (2022-06-01) -
Hybrid-Integrated Multi-Lines Optical-Phased-Array Chip
by: Shengmin Zhou, et al.
Published: (2025-07-01) -
Temperature Dependence of the Steering Angles of a Silicon Photonic Optical Phased Array
by: Pedro Andrei Krochin Yepez, et al.
Published: (2020-01-01) -
Solid-State MWIR Beam Steering Using Optical Phased Array on Germanium-Silicon Photonic Platform
by: Mathias Prost, et al.
Published: (2019-01-01)