Retina‐Like Neuromorphic Visual Sensor for Sensing Broad‐Spectrum Ultraviolet Light
Abstract The rapidly developing Artificial Intelligence era has an increasing demand for high‐performance organ‐on‐a‐chip systems, especially the vision system, which is the most essential perceptual system for human beings. However, traditional artificial vision systems require multiple functional components, which are not favorable for integration. Neuromorphic visual sensors (NVSs) inspired by the human retina combine visual sensing and multiple preprocessing functions. However, most NVSs require complex structures to achieve both photo sensing and memory, and are difficult to be large‐scale fabricated. Here, a novel In 2 O 3 ‐Ga 2 O 3 (InGaO) thin‐film‐based NVS with both high photosensitivity and superior photomemory performance is proposed, which can avoid the complex multilayer structure. The device possesses high accuracy optical communication and multiple retina‐like functions. Notably, this InGaO NVS achieves sensing of most UV light, and it has been experimentally confirmed to have excellent photoelectric synaptic performance under both 254 nm and 365 nm UV illumination. This work provides a feasible strategy to assist the human eye in sensing invisible UV light.
Authors
- Weihua Tang (ORCID: https://orcid.org/0000-0002-8771-3120)
- Zeng Liu (ORCID: https://orcid.org/0000-0003-3215-7929)
- Jia‐Han Zhang (ORCID: https://orcid.org/0000-0002-7319-9909)
- Maosheng Liu
- Zhaoying Xi (ORCID: https://orcid.org/0009-0004-8734-3811)
- Mingming Jiang (ORCID: https://orcid.org/0000-0003-1784-582X)
- Shan Li (ORCID: https://orcid.org/0000-0002-3095-3721)
- Lei Li (ORCID: https://orcid.org/0000-0003-4830-724X)
- Shaohui Zhang (ORCID: https://orcid.org/0000-0002-0057-1167)
Institutions
- Inner Mongolia University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Guangdong Academy of Sciences (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- Advanced Optical Materials
- Published
- 2024-08-29
- DOI
- https://doi.org/10.1002/adom.202402193
- Citations
- 23
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 4.80
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Jiangsu Province
- Major Basic Research Project of the Natural Science Foundation of the Jiangsu Higher Education Institutions
- National Key Research and Development Program of China