An Ultrasensitive Programmable 2D Photoelectric Synaptic Transistor
Abstract The burgeoning advancement of information technology has engendered a discernible surge in the examination of neuromorphic devices, notably drawing broader attention to artificial vision systems endowed with sensory recognition capabilities. Current photoelectric synapse devices employed in artificial vision systems are generally well‐suited for well‐illuminated conditions, yet exhibit diminished sensitivity in weak‐light scenarios, resulting in a pronounced deterioration of recognition accuracy. Here, an ultrasensitive photoelectric synaptic transistor based on negative quantum capacitance effect resulted from the 2D semi‐metallic graphene layer that partially enclosed within the gate dielectric layer, which manifests a noteworthy reduction in device control voltage and exhibits perception and storage capabilities for weak light of 39.4 nW cm −2 with detectivity above 10 16 cm Hz 1/2 W −1 is demonstrated. The voltage amplification effect and the concomitant formation of an equivalent local electrostatic field induced by the negative quantum capacitance effect engenders a robust programmable synaptic plasticity for extremely weak light by modifying the control gate. These results represent the inaugural integration of the negative quantum capacitance effect into optoelectronic devices and furnish a robust hardware foundation for developing vision systems in weak‐light environments.
Authors
- Xianfu Wang (ORCID: https://orcid.org/0000-0002-2066-7473)
- Xinrui Chen (ORCID: https://orcid.org/0000-0003-0910-4650)
- Yi Cui (ORCID: https://orcid.org/0000-0003-0924-5904)
- Zhiqiang Zhang (ORCID: https://orcid.org/0000-0003-0204-3867)
- Aitian Chen (ORCID: https://orcid.org/0000-0003-3535-9470)
- Tiantian Jiang
- Chaoyi Yan (ORCID: https://orcid.org/0000-0003-1701-2895)
- Miao Zhang (ORCID: https://orcid.org/0000-0003-3582-6075)
- Mingjie Wang (ORCID: https://orcid.org/0009-0000-4812-1977)
- Gaofeng Rao
- Haoxiang Tian
Institutions
- University of Electronic Science and Technology of China (CN)
- National Engineering Research Center of Electromagnetic Radiation Control Materials (CN)
Publication Details
- Journal
- Advanced Optical Materials
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1002/adom.202401465
- Citations
- 3
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.63
Funders
- National Natural Science Foundation of China
- Sichuan Province Science and Technology Support Program
- National Key Research and Development Program of China