A Near-Infrared Retinomorphic Device with High Dimensionality Reservoir Expression.
Yan-Bing Leng, Ziyu Lv, Shengming Huang, Peng Xie, Hua-Xin Li, Shirui Zhu, Tao Sun, You Zhou, Yongbiao Zhai, Qingxiu Li, Guanglong Ding, Ye Zhou, Su-Ting Han
Author Information
Yan-Bing Leng: Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, P. R. China.
Ziyu Lv: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Shengming Huang: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Peng Xie: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Hua-Xin Li: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Shirui Zhu: Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, P. R. China.
Tao Sun: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
You Zhou: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Yongbiao Zhai: College of Electronics and Information Engineering, Shenzhen University, Shenzhen, 518060, P. R. China.
Qingxiu Li: Institute of Microscale Optoelectronics, Shenzhen University, Shenzhen, 518060, P. R. China.
Guanglong Ding: Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China.
Ye Zhou: Institute for Advanced Study, Shenzhen University, Shenzhen, 518060, P. R. China.
Su-Ting Han: Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Kowloon, Hong Kong, 999077, P. R. China. ORCID
Physical reservoir-based reservoir computing (RC) systems for intelligent perception have recently gained attention because they require fewer computing resources. However, the system remains limited in infrared (IR) machine vision, including materials and physical reservoir expression power. Inspired by biological visual perception systems, the study proposes a near-infrared (NIR) retinomorphic device that simultaneously perceives and encodes narrow IR spectral information (at ���980 nm). The proposed device, featuring core-shell upconversion nanoparticle/poly (3-hexylthiophene) (P3HT) nanocomposite channels, enables the absorption and conversion of NIR into high-energy photons to excite more photo carriers in P3HT. The photon-electron-coupled dynamics under the synergy of photovoltaic and photogating effects influence the nonlinearity and high dimensionality of the RC system under narrow-band NIR irradiation. The device also exhibits multilevel data storage capability (���8 levels), excellent stability (���2000 s), and durability (���100 cycles). The system accurately identifies NIR static and dynamic handwritten digit images, achieving recognition accuracies of 91.13% and 90.07%, respectively. Thus, the device tackles intricate computations like solving second-order nonlinear dynamic equations with minimal errors (normalized mean squared error of 1.06 �� 10��� during prediction).
