A Multifunctional Device Combining Photodetection and Neuromorphic Memory for Efficient Target Recognition
The distinct optical characteristics of photodetectors and neuromorphic photomemristors confer unique advantages in various application scenarios. However, integrating both functionalities within a single optoelectronic device remains a challenge. In this study, we propose a multifunctional optoelectronic device consisting of a Pt/IGZO/ZnO/Au structure with a light response spectrum spanning from deep ultraviolet (250 nm) to red light (620 nm). Notably, the device exhibits varying photoelectric properties depending on the wavelength. Specifically, in the green (550 nm) to red (620 nm) range, it functions as a photodetector, while in the deep ultraviolet (250 nm) to blue (450 nm) range, it exhibits the photoelectric characteristics of neuromorphic photomemristors. By leveraging the distinct responses of the device to blue, green, and red light, we successfully demonstrate the task of blue feature extraction and target recognition through simulation. This work offers valuable insights for the development of new multifunctional optoelectronic devices.
Authors
- David Wei Zhang
- Bingqi Cai (ORCID: https://orcid.org/0009-0004-2812-9989)
- Kun Chen (ORCID: https://orcid.org/0000-0002-4606-7599)
- Chen Wang (ORCID: https://orcid.org/0000-0002-9380-8898)
- Qingqing Sun (ORCID: https://orcid.org/0000-0002-6533-1834)
- Lin Chen (ORCID: https://orcid.org/0000-0002-7145-7564)
Institutions
- Fudan University (CN)
- Shanghai Fudan Microelectronics (China) (CN)
Publication Details
- Journal
- IEEE Electron Device Letters
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1109/led.2025.3563967
- Citations
- 2
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 1.46
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- National Key Research and Development Program of China