Tilted-Mode All-Optical Diffractive Deep Neural Networks
Diffractive deep neural networks (D<sup>2</sup>NNs) typically adopt a densely cascaded arrangement of diffractive masks, leading to multiple reflections of diffracted light between adjacent masks, thereby affecting the network’s inference capability. It is challenging to fully simulate t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/16/1/8 |
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| author | Mingzhu Song Xuhui Zhuang Lu Rong Junsheng Wang |
| author_facet | Mingzhu Song Xuhui Zhuang Lu Rong Junsheng Wang |
| author_sort | Mingzhu Song |
| collection | DOAJ |
| description | Diffractive deep neural networks (D<sup>2</sup>NNs) typically adopt a densely cascaded arrangement of diffractive masks, leading to multiple reflections of diffracted light between adjacent masks, thereby affecting the network’s inference capability. It is challenging to fully simulate this multiple-reflection phenomenon. To eliminate this phenomenon, we designed tilted-mode all-optical diffractive deep neural networks (T-D<sup>2</sup>NNs) and proposed a theoretical model for diffraction propagation in the tilted mode. Simulation results indicate that T-D<sup>2</sup>NNs address the performance degradation caused by interlayer reflections in D<sup>2</sup>NNs constructed with high-index diffractive masks. In classification tasks, T-D<sup>2</sup>NNs achieve better classification results compared to D<sup>2</sup>NNs that consider interlayer reflections. |
| format | Article |
| id | doaj-art-9b495a8dd54f4e05ba433d19f49dedc1 |
| institution | Kabale University |
| issn | 2072-666X |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj-art-9b495a8dd54f4e05ba433d19f49dedc12025-01-24T13:41:49ZengMDPI AGMicromachines2072-666X2024-12-01161810.3390/mi16010008Tilted-Mode All-Optical Diffractive Deep Neural NetworksMingzhu Song0Xuhui Zhuang1Lu Rong2Junsheng Wang3Liaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, ChinaLiaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, ChinaSchool of Physics and Optoelectronic Engineering, Beijing University of Technology, Beijing 100124, ChinaLiaoning Key Laboratory of Marine Sensing and Intelligent Detection, Dalian Maritime University, Dalian 116026, ChinaDiffractive deep neural networks (D<sup>2</sup>NNs) typically adopt a densely cascaded arrangement of diffractive masks, leading to multiple reflections of diffracted light between adjacent masks, thereby affecting the network’s inference capability. It is challenging to fully simulate this multiple-reflection phenomenon. To eliminate this phenomenon, we designed tilted-mode all-optical diffractive deep neural networks (T-D<sup>2</sup>NNs) and proposed a theoretical model for diffraction propagation in the tilted mode. Simulation results indicate that T-D<sup>2</sup>NNs address the performance degradation caused by interlayer reflections in D<sup>2</sup>NNs constructed with high-index diffractive masks. In classification tasks, T-D<sup>2</sup>NNs achieve better classification results compared to D<sup>2</sup>NNs that consider interlayer reflections.https://www.mdpi.com/2072-666X/16/1/8diffractive deep neural networkscomputing imagingoptical neural networks |
| spellingShingle | Mingzhu Song Xuhui Zhuang Lu Rong Junsheng Wang Tilted-Mode All-Optical Diffractive Deep Neural Networks Micromachines diffractive deep neural networks computing imaging optical neural networks |
| title | Tilted-Mode All-Optical Diffractive Deep Neural Networks |
| title_full | Tilted-Mode All-Optical Diffractive Deep Neural Networks |
| title_fullStr | Tilted-Mode All-Optical Diffractive Deep Neural Networks |
| title_full_unstemmed | Tilted-Mode All-Optical Diffractive Deep Neural Networks |
| title_short | Tilted-Mode All-Optical Diffractive Deep Neural Networks |
| title_sort | tilted mode all optical diffractive deep neural networks |
| topic | diffractive deep neural networks computing imaging optical neural networks |
| url | https://www.mdpi.com/2072-666X/16/1/8 |
| work_keys_str_mv | AT mingzhusong tiltedmodeallopticaldiffractivedeepneuralnetworks AT xuhuizhuang tiltedmodeallopticaldiffractivedeepneuralnetworks AT lurong tiltedmodeallopticaldiffractivedeepneuralnetworks AT junshengwang tiltedmodeallopticaldiffractivedeepneuralnetworks |