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Intrinsic Defect-Driven Synergistic Synaptic Heterostructures for Gate-Free Neuromorphic Phototransistors.
Deng, Yao; Liu, Shenghong; Ma, Xiaoxi; Guo, Shuyang; Zhai, Baoxing; Zhang, Zihan; Li, Manshi; Yu, Yimeng; Hu, Wenhua; Yang, Hui; Kapitonov, Yury; Han, Junbo; Wu, Jinsong; Li, Yuan; Zhai, Tianyou.
  • Deng Y; State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Liu S; State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Ma X; State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Guo S; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, P. R. China.
  • Zhai B; Institute of Semiconductors, Henan Academy of Sciences, Zhengzhou, 450046, P. R. China.
  • Zhang Z; Department of Mechanics, School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Li M; Wuhan National High Magnetic Field Centre, Department of Physics, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Yu Y; State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Nanostructure Research Center, Wuhan University of Technology, Wuhan, 430070, P. R. China.
  • Hu W; School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan, 430070, P. R. China.
  • Yang H; Department of Mechanics, School of Aerospace Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Kapitonov Y; Department of Photonics, Saint Petersburg State University, Saint Petersburg, 199034, Russia.
  • Han J; Wuhan National High Magnetic Field Centre, Department of Physics, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Wu J; State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Nanostructure Research Center, Wuhan University of Technology, Wuhan, 430070, P. R. China.
  • Li Y; State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
  • Zhai T; State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, P. R. China.
Adv Mater ; 36(19): e2309940, 2024 May.
Article en En | MEDLINE | ID: mdl-38373410
ABSTRACT
The optoelectronic synaptic devices based on two-dimensional (2D) materials offer great advances for future neuromorphic visual systems with dramatically improved integration density and power efficiency. The effective charge capture and retention are considered as one vital prerequisite to realizing the synaptic memory function. However, the current 2D synaptic devices are predominantly relied on materials with artificially-engineered defects or intricate gate-controlled architectures to realize the charge trapping process. These approaches, unfortunately, suffer from the degradation of pristine materials, rapid device failure, and unnecessary complication of device structures. To address these challenges, an innovative gate-free heterostructure paradigm is introduced herein. The heterostructure presents a distinctive dome-like morphology wherein a defect-rich Fe7S8 core is enveloped snugly by a curved MoS2 dome shell (Fe7S8@MoS2), allowing the realization of effective photocarrier trapping through the intrinsic defects in the adjacent Fe7S8 core. The resultant neuromorphic devices exhibit remarkable light-tunable synaptic behaviors with memory time up to ≈800 s under single optical pulse, thus demonstrating great advances in simulating visual recognition system with significantly improved image recognition efficiency. The emergence of such heterostructures foreshadows a promising trajectory for underpinning future synaptic devices, catalyzing the realization of high-efficiency and intricate visual processing applications.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Año: 2024 Tipo del documento: Article