Solar-Blind Optoelectronic Synaptic Transistor Based on a-IGZO/h-BN/MLG Heterostructure
= 1 s, demonstrating low-energy, low-noise optical synaptic modulation. Leveraging these properties, LTP/LTD currents were mapped onto a VGG-8 neural network for CIFAR-10 image recognition, achieving 90.4% accuracy. Furthermore, the high PPF enabled stable, interference-resistant optical information transmission using ASCII-coded pulses, with maximum postsynaptic current deviation below 0.4 nA. These results highlight a versatile, mixed-dimensional oxide/2D-material platform for high-performance, solar-blind optoelectronic neuromorphic systems.
Authors
- Cuilan Tang
- Xun Yang (ORCID: https://orcid.org/0000-0003-2113-5839)
- Hai Zhu (ORCID: https://orcid.org/0000-0003-2874-5509)
- 秦国刚 Guogang Qin
- Yue Wang (ORCID: https://orcid.org/0000-0003-0098-5359)
- Hanzhe Zhang (ORCID: https://orcid.org/0009-0001-1117-399X)
- Yanwei Hu (ORCID: https://orcid.org/0000-0003-1943-4960)
- Shichen Su (ORCID: https://orcid.org/0000-0001-5786-8933)
- Zibin Huang
- Huiru Sun
- Yanqing Guo
- Lin Hu
- Zhenfeng Zhang (ORCID: https://orcid.org/0009-0001-2416-5577)
- Longfei Zhang
Institutions
- Southwest University of Science and Technology (CN)
- South China Normal University (CN)
- Peking University (CN)
- Zhengzhou University (CN)
- Ministry of Education (BD)
- State Key Laboratory of Optoelectronic Materials and Technology
Publication Details
- Journal
- Langmuir
- Published
- 2026-04-27
- DOI
- https://doi.org/10.1021/acs.langmuir.6c00584
- Primary Topic
- 2D Materials and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- South China Normal University
- Natural Science Foundation of Henan Province