A Diamond-Based Neuromorphic Retina Perception System with Wide Spectrum Photoresponse and Wavelength Sensitivity

Diamond, an important electronic and optoelectronic material, exhibits excellent performance in deep ultraviolet photodetection. However, its lack of visible light response and nonvolatile photocurrent hinders its application in neuromorphic sensors that mimic the human eye. In this work, we report a diamond-based neuromorphic retina perception system (NRPS) that demonstrates broad-spectrum photoresponse beyond the human visual range, nonvolatile photocurrent, and wavelength sensitivity. This outcome is achieved by introducing a large number of defects and doping states into the diamond film through heteroepitaxial growth on the SiO<sub>2</sub> substrate and Si doping. By adjusting the input light and electrical stimulation, human eye's pupil and image memory behavior are successfully simulated. More interestingly, the diamond NRPS exhibits a significant difference in the decay characteristic of photocurrent under different wavelengths of illumination. Based on this characteristic, the NRPS achieves recognition of unknown colors and trajectory tracking of dynamic light dots. Furthermore, the image recognition accuracy is improved from 67.5% to 81.7% by filtering the visible light information and extracting useful ultraviolet light information with the device. This study offers an effective strategy to develop a diamond-based neuromorphic sensor.

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Publication Details

Journal
ACS Nano
Published
2025-06-02
DOI
https://doi.org/10.1021/acsnano.5c05737
Citations
4
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.92

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article

A Diamond-Based Neuromorphic Retina Perception System with Wide Spectrum Photoresponse and Wavelength Sensitivity

Zitong Liu, Baodan Liu, Xing‐Qiu Chen, Dongming Sun et al.
4 citations
ACS Nano
Advanced Memory and Neural Computing
2.92
article

A Diamond-Based Neuromorphic Retina Perception System with Wide Spectrum Photoresponse and Wavelength Sensitivity

Zitong Liu, Baodan Liu, Xing‐Qiu Chen, Dongming Sun, Lizhi Feng, Ouxiang Zhou, Xinglai Zhang, Xiaokun Guo, Longhai Shen, Lijie Deng, Hanning Xu, Peitao Liu, Xin Jiang, Yang Bing, Junchao Wang, Bing Leng, Siyu Feng
article en
4 citations

Abstract

Diamond, an important electronic and optoelectronic material, exhibits excellent performance in deep ultraviolet photodetection. However, its lack of visible light response and nonvolatile photocurrent hinders its application in neuromorphic sensors that mimic the human eye. In this work, we report a diamond-based neuromorphic retina perception system (NRPS) that demonstrates broad-spectrum photoresponse beyond the human visual range, nonvolatile photocurrent, and wavelength sensitivity. This outcome is achieved by introducing a large number of defects and doping states into the diamond film through heteroepitaxial growth on the SiO<sub>2</sub> substrate and Si doping. By adjusting the input light and electrical stimulation, human eye's pupil and image memory behavior are successfully simulated. More interestingly, the diamond NRPS exhibits a significant difference in the decay characteristic of photocurrent under different wavelengths of illumination. Based on this characteristic, the NRPS achieves recognition of unknown colors and trajectory tracking of dynamic light dots. Furthermore, the image recognition accuracy is improved from 67.5% to 81.7% by filtering the visible light information and extracting useful ultraviolet light information with the device. This study offers an effective strategy to develop a diamond-based neuromorphic sensor.

ACS NanoVol. 19(22)
Shenyang Ligong University (CN), University of Science and Technology of China (CN), Foshan University (CN), Chinese Academy of Sciences (CN), China Medical University (CN), Northeastern University (CN)
National Natural Science Foundation of China, Northeastern University, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Foundation of Liaoning Province, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 9%
Advanced Memory and Neural Computing
2.92
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