All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition
Abstract As the demand for the neuromorphic vision system in image recognition experiences rapid growth, it is imperative to develop advanced architectures capable of processing perceived data proximal to sensory terminals. This approach aims to reduce data movement between sensory and computing uni...
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| Format: | Article |
| Language: | English |
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Wiley
2025-02-01
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| Series: | Advanced Science |
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| Online Access: | https://doi.org/10.1002/advs.202409933 |
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| author | Yung‐Chi Yao Chia‐Jung Lee Yong‐Jun Chen Jun‐Zhi Feng Hongseok Oh Chin‐Shan Lue Jinn‐Kong Sheu Ya‐Ju Lee |
| author_facet | Yung‐Chi Yao Chia‐Jung Lee Yong‐Jun Chen Jun‐Zhi Feng Hongseok Oh Chin‐Shan Lue Jinn‐Kong Sheu Ya‐Ju Lee |
| author_sort | Yung‐Chi Yao |
| collection | DOAJ |
| description | Abstract As the demand for the neuromorphic vision system in image recognition experiences rapid growth, it is imperative to develop advanced architectures capable of processing perceived data proximal to sensory terminals. This approach aims to reduce data movement between sensory and computing units, minimizing the need for data transfer and conversion at the sensor‐processor interface. Here, an optical neuromorphic synaptic (ONS) device is demonstrated by homogeneously integrating optical‐sensing and synaptic functionalities into a unified material platform, constructed exclusively by all‐inorganic perovskite CsPbBr3 quantum dots (QDs). The dual functionality of each unit within the ONS device, which can be operated as either an optical sensor or a synaptic device depending on applied electrical polarity, provides significant advantages over previous heterogeneous integration methods, particularly regarding material selection, structural compatibility, and device fabrication complexity. The ONS device exhibits distinct wavelength responses essential for emulating colored image recognition capability inherent in the human visual system. Additionally, the seamless integration of electronics and photonics within a unified material system establishes a novel paradigm for optical retrieval, enabling real‐time perception of the encoded status of the ONS device. These findings represent substantial advancements in near‐sensor computing platforms and open a new horizon for all‐inorganic perovskite optoelectronic technologies. |
| format | Article |
| id | doaj-art-2bb8f81a05784da382872de18653730d |
| institution | Kabale University |
| issn | 2198-3844 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Science |
| spelling | doaj-art-2bb8f81a05784da382872de18653730d2025-02-04T13:14:55ZengWileyAdvanced Science2198-38442025-02-01125n/an/a10.1002/advs.202409933All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image RecognitionYung‐Chi Yao0Chia‐Jung Lee1Yong‐Jun Chen2Jun‐Zhi Feng3Hongseok Oh4Chin‐Shan Lue5Jinn‐Kong Sheu6Ya‐Ju Lee7Program on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanProgram on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanProgram on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanDepartment of Photonics National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanDepartment of Physics Department of Intelligent Semiconductors Soongsil University 369 Sangdo‐ro, Dongjak District Seoul 06978 South KoreaProgram on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanProgram on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanProgram on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing (AISSM) National Cheng Kung University No. 1, University Road Tainan City 70101 TaiwanAbstract As the demand for the neuromorphic vision system in image recognition experiences rapid growth, it is imperative to develop advanced architectures capable of processing perceived data proximal to sensory terminals. This approach aims to reduce data movement between sensory and computing units, minimizing the need for data transfer and conversion at the sensor‐processor interface. Here, an optical neuromorphic synaptic (ONS) device is demonstrated by homogeneously integrating optical‐sensing and synaptic functionalities into a unified material platform, constructed exclusively by all‐inorganic perovskite CsPbBr3 quantum dots (QDs). The dual functionality of each unit within the ONS device, which can be operated as either an optical sensor or a synaptic device depending on applied electrical polarity, provides significant advantages over previous heterogeneous integration methods, particularly regarding material selection, structural compatibility, and device fabrication complexity. The ONS device exhibits distinct wavelength responses essential for emulating colored image recognition capability inherent in the human visual system. Additionally, the seamless integration of electronics and photonics within a unified material system establishes a novel paradigm for optical retrieval, enabling real‐time perception of the encoded status of the ONS device. These findings represent substantial advancements in near‐sensor computing platforms and open a new horizon for all‐inorganic perovskite optoelectronic technologies.https://doi.org/10.1002/advs.202409933colored image recognitionCsPbBr3near‐sensor computingneuromorphic vision systemquantum dots |
| spellingShingle | Yung‐Chi Yao Chia‐Jung Lee Yong‐Jun Chen Jun‐Zhi Feng Hongseok Oh Chin‐Shan Lue Jinn‐Kong Sheu Ya‐Ju Lee All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition Advanced Science colored image recognition CsPbBr3 near‐sensor computing neuromorphic vision system quantum dots |
| title | All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition |
| title_full | All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition |
| title_fullStr | All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition |
| title_full_unstemmed | All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition |
| title_short | All‐Inorganic Perovskite Quantum‐Dot Optical Neuromorphic Synapses for Near‐Sensor Colored Image Recognition |
| title_sort | all inorganic perovskite quantum dot optical neuromorphic synapses for near sensor colored image recognition |
| topic | colored image recognition CsPbBr3 near‐sensor computing neuromorphic vision system quantum dots |
| url | https://doi.org/10.1002/advs.202409933 |
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