Bioinspired Three-Mode Photosensitive Synaptic LED for Optical Information Processing
Inspired by human sense organs, AI is advancing toward multimodal perception, with display technology evolving into intelligent human-computer interaction tools. However, hardware networks with multimodal responses connected by different devices bring problems such as delayed information transfer and inefficiency. Thus, an innovative three-mode photosensitive synaptic LED (PSSL) is first proposed by adding a photosensitive layer indacenodithiophene-benzothiadiazole (IDTBT) to the quantum-dot light-emitting diode (QLED), switched by changing the bias voltage. The self-powered PSSL has a photoresponse range from 310 nm to 808 nm (ultraviolet-near-infrared, UV-NIR). The device exhibits a bipolar response under red and UV light at 1 V. When the voltage reaches the turn-on voltage, the PSSL device turns into a neuromorphic LED, exhibiting conductivity enhancement under red-light irradiation and suppression under UV-light irradiation. As a result, the PSSLs are expected to be applied in the field of optical encryption communication and in neuromorphic display.
Authors
- Huipeng Chen (ORCID: https://orcid.org/0000-0003-1706-3174)
- Zexi Lin
- Wenxiao Zhao (ORCID: https://orcid.org/0000-0001-7165-5870)
- Enguo Chen (ORCID: https://orcid.org/0000-0001-9808-7252)
- Teng Wu (ORCID: https://orcid.org/0000-0002-8670-7669)
- Jiawei Wang (ORCID: https://orcid.org/0000-0002-3929-5737)
- Xing Lin
- Liyan Zhang (ORCID: https://orcid.org/0000-0003-1725-4798)
- Yun Ye (ORCID: https://orcid.org/0000-0002-8577-7868)
- Sheng Xu (ORCID: https://orcid.org/0009-0001-5853-1491)
Institutions
- Tan Kah Kee Innovation Laboratory (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Nano Letters
- Published
- 2024-10-28
- DOI
- https://doi.org/10.1021/acs.nanolett.4c04444
- Citations
- 9
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- Natural Science Foundation of Fujian Province
- Fujian Provincial Department of Science and Technology
- Science and Technology Planning Project of Fuzhou
- National Key Research and Development Program of China