journal article·2024-05Open access

Intrinsic Defect‐Driven Synergistic Synaptic Heterostructures for Gate‐Free Neuromorphic Phototransistors

Yao Deng, Shenghong Liu, Xiaoxi Ma, Shuyang Guo, Baoxing Zhai, Zihan Zhang, Manshi Li, Yimeng Yu, Wenhua Hu, Hui Yang, Yury Kapitonov, Junbo Han, Jinsong Wu, Yuan Li, Tianyou Zhai

Advanced Materials· Volume 36· Issue 19

Abstract

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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Research context

OpenAlex topics: Advanced Memory and Neural Computing · 2D Materials and Applications · Transition Metal Oxide Nanomaterials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

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

School of Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan 430070 P. R. China

Institute of Semiconductors Henan Academy of Sciences Zhengzhou 450046 P. R. China

Department of Mechanics School of Aerospace Engineering Huazhong University of Science and Technology Wuhan 430074 P. R. China

Wuhan National High Magnetic Field Centre Department of Physics Huazhong University of Science and Technology Wuhan 430074 P. R. China

State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Nanostructure Research Center Wuhan University of Technology Wuhan 430070 P. R. China

Department of Photonics Saint Petersburg State University Saint Petersburg 199034 Russia

Funding

National Key Research and Development Program of China · National Natural Science Foundation of China · Shenzhen Science and Technology Innovation Program

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