Reconfigurable, Nonvolatile, Optoelectronic Synaptic Memtransistor Based on MoS <sub>2</sub> /Te van der Waals Heterostructures

Abstract Memtransistors with nonvolatile storage, reconfigurability, and simulated synaptic functions are critical to overcoming the traditional von Neumann computer architecture bottleneck. Emerging two‐dimensional van der Waals heterostructures (vdW) are promising candidates for constructing advanced three‐terminal memtransistors by integrating the intriguing features of different materials and offering additional controllability over their existing optoelectronic properties. Herein, molybdenum disulfide (MoS 2 )/Tellurene (Te) vdW p‐n junction memtransistors are fabricated to mimic the plasticity, multi‐bit memory, and paired‐pulse facilitation behavior of biological synapses. The high surface potential difference and charge trapping of the MoS 2 /Te heterostructure can endow the device with reconfigurable functionality through the transformation from short‐term plasticity to long‐term plasticity under illumination. Meanwhile, optoelectronic synaptic memtransistors also demonstrate nonvolatile behavior with a long retention time up to several hours, which can realize optical potentiation and electrical depression in one synaptic activity. On this basis, a logical operation of “OR” is realized by controlling the optical and electrical inputs. Moreover, artificial neural network training is performed to achieve a high recognition accuracy of 87.8% for handwritten digit recognition, demonstrating the potential of the artificial optoelectronic synapses in neuromorphic calculation.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-03-24
DOI
https://doi.org/10.1002/adfm.202423333
Citations
23
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
16.80

Funders

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article

Reconfigurable, Nonvolatile, Optoelectronic Synaptic Memtransistor Based on MoS 2 /Te van der Waals Heterostructures

Yufeng Hao, Min Zhao, Liang Zhang, Shangzhou Zhao et al.
23 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
16.80
article

Reconfigurable, Nonvolatile, Optoelectronic Synaptic Memtransistor Based on MoS 2 /Te van der Waals Heterostructures

Yufeng Hao, Min Zhao, Liang Zhang, Shangzhou Zhao, Włodek Strupiński, Xikui Ma, Xiangyu Zeng, Yuan Li, Mingjia Zhang
article en
23 citations

Abstract

Abstract Memtransistors with nonvolatile storage, reconfigurability, and simulated synaptic functions are critical to overcoming the traditional von Neumann computer architecture bottleneck. Emerging two‐dimensional van der Waals heterostructures (vdW) are promising candidates for constructing advanced three‐terminal memtransistors by integrating the intriguing features of different materials and offering additional controllability over their existing optoelectronic properties. Herein, molybdenum disulfide (MoS 2 )/Tellurene (Te) vdW p‐n junction memtransistors are fabricated to mimic the plasticity, multi‐bit memory, and paired‐pulse facilitation behavior of biological synapses. The high surface potential difference and charge trapping of the MoS 2 /Te heterostructure can endow the device with reconfigurable functionality through the transformation from short‐term plasticity to long‐term plasticity under illumination. Meanwhile, optoelectronic synaptic memtransistors also demonstrate nonvolatile behavior with a long retention time up to several hours, which can realize optical potentiation and electrical depression in one synaptic activity. On this basis, a logical operation of “OR” is realized by controlling the optical and electrical inputs. Moreover, artificial neural network training is performed to achieve a high recognition accuracy of 87.8% for handwritten digit recognition, demonstrating the potential of the artificial optoelectronic synapses in neuromorphic calculation.

Advanced Functional MaterialsVol. 35(34)
Warsaw University of Technology (PL), Xuzhou University of Technology (CN), Nanjing University of Chinese Medicine (CN), Xidian University (CN), Zhejiang Lab (CN), Collaborative Innovation Center of Advanced Microstructures (CN), Ocean University of China (CN), Nanjing University (CN)
National Natural Science Foundation of China, Jiangsu Provincial Key Research and Development Program, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Advanced Memory and Neural Computing
16.80
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