Simulating and Implementing Broadband van der Waals Artificial Visual Synapses Based on Photoconductivity and Pyroconductivity Mechanisms

With advancements in artificial neural networks and information processing technology, a variety of neuromorphic synaptic devices have been proposed to emulate human sensory systems, with vision being a crucial information source. Moreover, as practical applications become increasingly complex, the need for multifunctional visual synapses to expand the application range becomes urgent. This study introduces a MoS<sub>2</sub>/WSe<sub>2</sub> van der Waals (vdW) heterojunction and utilizes it to replicate artificial visual synapses by harnessing the cooperative effect of photoconductivity and pyroconductivity mechanisms. By adjusting the optical power, pulse width, and pulse number of the optical stimulus, the heterojunction effectively simulates synaptic properties. Under the combined action of an external electric field and the built-in electric field (<i>E</i><sub>bi</sub>), the heterojunction exhibits broadband synaptic properties in the visible to near-infrared spectrum (405-1550 nm) while consuming low power of 0.3-1.1 pJ per spike. The heterojunction can detect ultraweak optical signals at 660 nm with an optical power intensity of 14 μW/cm<sup>2</sup>, displaying a high specific detectivity (<i>D</i>*) of 3.98 × 10<sup>11</sup> Jones. Furthermore, at 405, 808, 1064, and 1550 nm, the <i>D</i>* of the heterojunction is 4.16 × 10<sup>11</sup>, 3.61 × 10<sup>9</sup>, 4.96 × 10<sup>7</sup>, and 1.64 × 10<sup>7</sup> Jones, respectively. Visual synaptic devices based on the MoS<sub>2</sub>/WSe<sub>2</sub> vdW heterojunction hold significant promise for the future development of integrated sensing and memory processing devices.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2024-09-23
DOI
https://doi.org/10.1021/acsami.4c10128
Citations
8
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.78

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article

Simulating and Implementing Broadband van der Waals Artificial Visual Synapses Based on Photoconductivity and Pyroconductivity Mechanisms

Shuaizhi Zheng, Pengfei Hou, Dan Qiu
8 citations
ACS Applied Materials & Interfaces
Neural Networks and Reservoir Computing
2.78
article

Simulating and Implementing Broadband van der Waals Artificial Visual Synapses Based on Photoconductivity and Pyroconductivity Mechanisms

Shuaizhi Zheng, Pengfei Hou, Dan Qiu
article en
8 citations

Abstract

With advancements in artificial neural networks and information processing technology, a variety of neuromorphic synaptic devices have been proposed to emulate human sensory systems, with vision being a crucial information source. Moreover, as practical applications become increasingly complex, the need for multifunctional visual synapses to expand the application range becomes urgent. This study introduces a MoS<sub>2</sub>/WSe<sub>2</sub> van der Waals (vdW) heterojunction and utilizes it to replicate artificial visual synapses by harnessing the cooperative effect of photoconductivity and pyroconductivity mechanisms. By adjusting the optical power, pulse width, and pulse number of the optical stimulus, the heterojunction effectively simulates synaptic properties. Under the combined action of an external electric field and the built-in electric field (<i>E</i><sub>bi</sub>), the heterojunction exhibits broadband synaptic properties in the visible to near-infrared spectrum (405-1550 nm) while consuming low power of 0.3-1.1 pJ per spike. The heterojunction can detect ultraweak optical signals at 660 nm with an optical power intensity of 14 μW/cm<sup>2</sup>, displaying a high specific detectivity (<i>D</i>*) of 3.98 × 10<sup>11</sup> Jones. Furthermore, at 405, 808, 1064, and 1550 nm, the <i>D</i>* of the heterojunction is 4.16 × 10<sup>11</sup>, 3.61 × 10<sup>9</sup>, 4.96 × 10<sup>7</sup>, and 1.64 × 10<sup>7</sup> Jones, respectively. Visual synaptic devices based on the MoS<sub>2</sub>/WSe<sub>2</sub> vdW heterojunction hold significant promise for the future development of integrated sensing and memory processing devices.

ACS Applied Materials & InterfacesVol. 16(39)
Xiangtan University (CN)
Education Department of Hunan Province, National Natural Science Foundation of China, Natural Science Foundation of Hunan Province, Science and Technology Program of Hunan Province
Openalex Percentile: Top 8%
Neural Networks and Reservoir Computing
2.78
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