journal article·2024-10-02

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

Dan Qiu, Shuaizhi Zheng, Pengfei Hou

ACS Applied Materials & Interfaces· Volume 16· Issue 39
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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 2 /WSe 2 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 ( E bi ), 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 2, displaying a high specific detectivity ( D *) of 3.98 × 10 11 Jones. Furthermore, at 405, 808, 1064, and 1550 nm, the D * of the heterojunction is 4.16 × 10 11, 3.61 × 10 9, 4.96 × 10 7, and 1.64 × 10 7 Jones, respectively. Visual synaptic devices based on the MoS 2 /WSe 2 vdW heterojunction hold significant promise for the future development of integrated sensing and memory processing devices.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing · CCD and CMOS Imaging Sensors

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

Affiliations

School of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan 411105, China

Funding

Natural Science Foundation of Hunan Province · Education Department of Hunan Province · Science and Technology Program of Hunan Province · National Natural Science Foundation of China

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