Multifunctional integrated micro-light-emitting diodes for self-powered photodetection and neuromorphic computing
<h2>Summary</h2> Although integrating multiple functions into a single optoelectronic device is crucial for the development of next-generation optoelectronics, different functions often have conflicting requirements, making multiple-function integration quite challenging. Here, we report the monolithic integration of self-powered photodetector, artificial synapse, and light-emitting diode (LED) in a multifunctional micro-device. By manipulating the carrier transport dynamics through controlling the bias voltage, the three functions of the micro-device can be switched efficiently. Notably, a unique system of humanoid intelligent robot has been set successfully, which combines three key functions of light detection, neuromorphic computing, and display. By leveraging the multiple functions, the micro-LEDs have been applied to guide humanoid robots in performing information recognition and motion learning, which can lower the complexity of overall artificial-intelligence (AI) system. The systematic integration of detection, display, and AI technology provides new insights into upcoming advanced and versatile systems.
Authors
- Yuan Tang
- Jie Yin (ORCID: https://orcid.org/0000-0001-6195-9918)
- Jianya Zhang (ORCID: https://orcid.org/0000-0003-3251-165X)
- Yukun Zhao (ORCID: https://orcid.org/0000-0002-4071-4265)
- Bin Xu (ORCID: https://orcid.org/0000-0002-9251-6930)
- Rui Xu (ORCID: https://orcid.org/0000-0003-0516-3629)
- Cheng Lu (ORCID: https://orcid.org/0000-0002-1062-8550)
- Binbin Hou (ORCID: https://orcid.org/0000-0002-7451-2522)
- Fangren Hu
- Zhiyang Liu
Institutions
- University of Science and Technology of China (CN)
- Suzhou University of Science and Technology (CN)
- Nanjing University of Posts and Telecommunications (CN)
- Suzhou Institute of Nano-tech and Nano-bionics (CN)
- Guangdong Institute of Intelligent Manufacturing (CN)
Publication Details
- Journal
- Cell Reports Physical Science
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1016/j.xcrp.2025.102913
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73