Bioinspired TeSeO/InZnO Optoelectronic Synapse for Broadband UV–Visible–NIR Sensing and Multifunctional Reservoir Computing
Neuromorphic visual systems, integrating broadband optical perception, memory, and computation, offer a promising pathway toward next-generation intelligent sensing and brain-inspired computing. Here, we report a TeSeO/InZnO heterojunction optoelectronic synaptic transistor that leverages a narrow-bandgap/wide-bandgap coupling strategy to achieve broadband photoresponse spanning from UV to NIR (360-1550 nm). Under UV-visible-NIR illumination, the device exhibits tunable synaptic functionalities, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and controllable memory transition processes. Moreover, the reservoir computing framework constructed on this device demonstrates a rich dynamic state space, achieving up to 93% accuracy in colored object recognition tasks. Furthermore, it effectively solves second-order nonlinear dynamical equations with a minimal normalized root-mean-square error of 4.19 × 10<sup>-4</sup>. This work establishes a material and device foundation for broadband neuromorphic visual perception and high-dimensional dynamic computing.
Authors
- L. -Y. Zhu
- Changjin Wan
- Shancheng Yan
- Gang He
- Huabin Sun
- Yong Xu
- Xiang Wan
- Zhihao Yu
- Feng Zhang
- Chee Leong Tan
- Pengyu Chen
Institutions
- Anhui University (CN)
- Bay Institute (US)
- Nanjing University of Posts and Telecommunications (CN)
- Guangdong Greater Bay Area Institute of Integrated Circuit and System
- Nanjing University (CN)
Publication Details
- Journal
- Nano Letters
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1021/acs.nanolett.5c05934
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00