Near‐Infrared Optoelectronic Memristor with All‐Optical Modulation for Microscopic Biological Motion Recognition

Near-infrared (NIR) synaptic devices are characterized by unique optical sensitivity and synaptic plasticity, possessing high potential to significantly broaden the visual spectrum accessible to humans. Moreover, these devices seamlessly integrate neuro-morphological computing with infrared optical communication, attracting significant attention for future low-power, high-efficiency neuromorphic visual systems. However, the irreversible optical response of most optical synapses under short-wavelength infrared light severely restricts the practical application of these devices. To overcome this limitation, this work proposes a NIR optoelectronic memristor with all-optical modulation based on ZnO-upconversion nanoparticles (ZnO-UCNPs) nanocomposite film. The proposed device exhibits bidirectional light response characteristics under 350 and 980 nm light stimulations. The memristive mechanism can be attributed to the photothermal effect of upconversion nanoparticles in the nanocomposite film in conjunction with optical excitation in ZnO. Due to the all-optical plasticity, a series of logical functions with fault-tolerance capability, including are demonstrated in the proposed synaptic device. In addition, by leveraging the tissue-penetrating capability of NIR light, the proposed device can be used in microscopic biological motion detection tasks and edge detection functions. This work introduces a promising method for developing fully optically controlled memristors and advancing the field of neuromorphic vision.

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Institutions

Publication Details

Journal
Advanced Materials
Published
2025-08-28
DOI
https://doi.org/10.1002/adma.202510185
Citations
7
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
5.11

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article

Near‐Infrared Optoelectronic Memristor with All‐Optical Modulation for Microscopic Biological Motion Recognition

Jiajuan Shi, Zhongqiang Wang, Haiyang Xu, Xiaoning Zhao et al.
7 citations
Advanced Materials
Advanced Memory and Neural Computing
5.11
article

Near‐Infrared Optoelectronic Memristor with All‐Optical Modulation for Microscopic Biological Motion Recognition

Jiajuan Shi, Zhongqiang Wang, Haiyang Xu, Xiaoning Zhao, Yadan Ding, Jiaqi Han, Ya Lin, Xuanyu Shan, Yichun Liu, Ke Peng, Haiyang Mao, Hancheng Zhu, Ye Tao, L. Meng
article en
7 citations

Abstract

Near-infrared (NIR) synaptic devices are characterized by unique optical sensitivity and synaptic plasticity, possessing high potential to significantly broaden the visual spectrum accessible to humans. Moreover, these devices seamlessly integrate neuro-morphological computing with infrared optical communication, attracting significant attention for future low-power, high-efficiency neuromorphic visual systems. However, the irreversible optical response of most optical synapses under short-wavelength infrared light severely restricts the practical application of these devices. To overcome this limitation, this work proposes a NIR optoelectronic memristor with all-optical modulation based on ZnO-upconversion nanoparticles (ZnO-UCNPs) nanocomposite film. The proposed device exhibits bidirectional light response characteristics under 350 and 980 nm light stimulations. The memristive mechanism can be attributed to the photothermal effect of upconversion nanoparticles in the nanocomposite film in conjunction with optical excitation in ZnO. Due to the all-optical plasticity, a series of logical functions with fault-tolerance capability, including are demonstrated in the proposed synaptic device. In addition, by leveraging the tissue-penetrating capability of NIR light, the proposed device can be used in microscopic biological motion detection tasks and edge detection functions. This work introduces a promising method for developing fully optically controlled memristors and advancing the field of neuromorphic vision.

Advanced MaterialsVol. 37(45)
Northeast Normal University (CN)
National Natural Science Foundation of China, People's Government of Jilin Province
Openalex Percentile: Top 4%
Advanced Memory and Neural Computing
5.11
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