IGZO/HfO<sub>x</sub> Heterojunction Optoelectronic Memristor With Multiwavelength Response for Neuromorphic Visual System
Wide-bandgap metal oxide semiconductors possess suitable characteristics for neuromorphic visual systems, including high light absorption efficiency and persistent photoconductivity. However, their limited responsivity to low-energy photons has hindered applications requiring color discrimination and multi-spectral signal processing. To address this challenge, we developed an oxygen-deficient IGZO/HfO<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">x</sub> heterojunction memristor with multiwavelength response. The device demonstrates synaptic functionality under 350-680 nm illuminations, such as excitatory postsynaptic current, paired-pulse facilitation, and image perception-memory integration. Leveraging on the optical potentiation and electrical depression characteristics, the color image recognition has achieved 85.8% accuracy in an artificial neural network. The visible-light response of IGZO is ascribed to the oxygen defect energy levels capable of trapping photo-electrons. This work provides a viable pathway for developing high-efficiency neuromorphic vision systems using wide-bandgap oxide semiconductors with full-spectrum detection capabilities.
Authors
- Jiaqi Han (ORCID: https://orcid.org/0000-0003-1786-3817)
- Peng Li (ORCID: https://orcid.org/0000-0002-0933-2592)
- Xiaoning Zhao (ORCID: https://orcid.org/0000-0002-0082-2288)
- Ya Lin (ORCID: https://orcid.org/0000-0003-1421-8126)
- Xuanyu Shan (ORCID: https://orcid.org/0000-0002-6161-7835)
- Jiulong Sun
- Jiahui Zheng (ORCID: https://orcid.org/0009-0005-0837-6138)
- Zhuangzhuang Li (ORCID: https://orcid.org/0000-0002-5582-2357)
- Zhuchen Tao
- Zhongqiang Wang (ORCID: https://orcid.org/0000-0002-1133-6058)
Institutions
- Northeast Normal University (CN)
Publication Details
- Journal
- IEEE Electron Device Letters
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1109/led.2025.3599471
- Citations
- 1
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation