Optical sensing and photodetectors
可编程光子晶体光神经网络
Programmable Photonic-Crystal Optical Neural NetworkA diffractive optical neural network (D2NN) architecture that utilizes a photonic crystal structure to implement optical computing functions. It integrates gated residual diffractive enhancement to improve the network's performance and adaptability. / 一种利用光子晶体结构实现光学计算功能的衍射光学神经网络（D2NN）架构。它集成了门控残差衍射增强以提高网络的性能和适应性。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-13 21:06:28
Sub-knowledge points
Gated Residual Diffractive EnhancementPhotonic Crystal Structure
Higher-order knowledge points
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Main parameters and performance indicators
Gated Residual Diffractive Enhancement: Mechanism for improving network performancePhotonic Crystal: Material structure enabling light manipulation
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsProgrammable Photonic-Crystal Optical Neural Network with Gated Residual Diffractive EnhancementOpen source
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1 recordsRecord title: Programmable Photonic-Crystal Optical Neural Network.
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