RGB-Sensitive TeOx/InZnO Heterojunction Phototransistor for Visible-Light-Driven Optoelectronic Synapses
Abstract Visible-light-responsive optoelectronic synapses are attracting increasing attention for neuromorphic vision systems because they integrate optical sensing and information processing within a single device. However, conventional oxide semiconductor phototransistors are generally limited by their wide bandgap, resulting in weak visible-light absorption and insufficient synaptic performance. Here, we demonstrate a thickness-optimized TeOx/IZO heterojunction optoelectronic synaptic phototransistor that achieves efficient visible-light sensing and neuromorphic functionality through enhanced photocarrier generation and defect-assisted carrier trapping. Systematic optimization of the TeOx layer reveals that a thickness of 5 nm provides the optimum balance between visible-light absorption, electrical switching characteristics, and carrier transport. The optimized device exhibits a low dark current of approximately 1 × 10−12 A, a high on/off current ratio of ∼108, and wavelength-dependent photoresponse enhancements of up to 2377.6% under green-light illumination compared with pristine IZO devices. Furthermore, the device successfully emulates essential synaptic functions, including excitatory postsynaptic current, short- and long-term memory, paired-pulse facilitation, and long-term potentiation/depression, while achieving a handwritten digit recognition accuracy of ∼88%. X-ray photoelectron spectroscopy, spectroscopic ellipsometry, and photo-induced current transient spectroscopy reveal that the superior photosynaptic performance originates from an optimal balance among visible-light absorption, interfacial carrier transfer, and shallow-defect-assisted carrier trapping. These results establish the TeOx/IZO heterojunction as an effective platform for oxide-based visible-light neuromorphic vision systems.
Authors
- Sooji Nam (ORCID: https://orcid.org/0000-0001-8658-514X)
- Minsu Seo (ORCID: https://orcid.org/0000-0002-1583-5006)
- Kwun‐Bum Chung (ORCID: https://orcid.org/0000-0001-8877-5297)
- Kwangsik Jeong (ORCID: https://orcid.org/0000-0002-2804-7092)
- Min Jung Kim (ORCID: https://orcid.org/0000-0003-3041-0396)
- Yongcheol Jo (ORCID: https://orcid.org/0000-0002-7866-0223)
- Jiseong Jang
- Seyoung Lee
Institutions
- Electronics and Telecommunications Research Institute (KR)
- Yonsei University (KR)
- Dongguk University (KR)
- Institute of Electronics (BG)
- Research Institute of Posts and Telecommunications (SK)
Publication Details
- Journal
- ACS Applied Electronic Materials
- Published
- 2026-09-04
- DOI
- https://doi.org/10.1021/acsaelm.6c01570
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Electronics and Telecommunications Research Institute
- National Research Foundation of Korea
- Korea Evaluation Institute of Industrial Technology