Reconfigurable Homojunction Phototransistor for Near-Zero Power Consumption Artificial Biomimetic Retina Function
Semiconductor photodetectors integrating preliminary signal-processing functions play a vital role in artificial biomimetic retina systems. Herein, we propose a tungsten diselenide (WSe<sub>2</sub>) phototransistor with a dual-layer gate dielectric and an asymmetric graphene insert structure. This phototransistor exhibits a bidirectional self-powered photocurrent by controlling the gate voltage via the formation of reconfigurable p<sup>+</sup>-p and n-p homojunctions in the channel from the asymmetric graphene insert. At the same time, the nonvolatile electron and hole stored in the dual-layer gate dielectric are generated using a temporary gate voltage, which can replace the gate voltage to regulate the channel charge. Moreover, the photocurrent shows a linear relation with the temporary programming gate voltage. The phototransistor exhibits a rectification ratio of >4 orders of magnitude without the gate voltage, indicating its significant capability to operate in a fully self-powered mode with near-zero power consumption. Based on the device characteristics, we successfully simulate the biological functions of the photoreceptor layer and bipolar cell layer in the retinal receptive field. The identification of the object motion direction in the receptive field can be realized by integrating three programmable devices on the chip. Furthermore, edge enhancement of the image is achieved by independently modulating the light response of each pixel in the sensor by varying the programming gate voltage. This study will promote the developing progress of future artificial biomimetic retina systems.
Authors
- Jie You (ORCID: https://orcid.org/0000-0003-3735-0592)
- Zhangming Zhu (ORCID: https://orcid.org/0000-0002-7764-1928)
- Liming Wang (ORCID: https://orcid.org/0000-0001-5751-5126)
- Hui Guo (ORCID: https://orcid.org/0000-0002-0383-2481)
- Zhenyang Zhong (ORCID: https://orcid.org/0000-0002-0874-7446)
- Zuimin Jiang (ORCID: https://orcid.org/0000-0002-5351-414X)
- Huiyong Hu
- Ningning Zhang (ORCID: https://orcid.org/0000-0001-6744-3867)
- Yichi Zhang (ORCID: https://orcid.org/0000-0001-8664-586X)
- Han Zhao (ORCID: https://orcid.org/0009-0008-2274-9502)
- Qing Mi
Institutions
- Jiangnan University (CN)
- Analog Devices (United States) (US)
- Xidian University (CN)
- Fudan University (CN)
- Science and Technology on Surface Physics and Chemistry Laboratory (CN)
- State Key Laboratory of Surface Physics
Publication Details
- Journal
- ACS Nano
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1021/acsnano.4c10619
- Citations
- 17
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 3.55
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China