journal article·2024-12

Full van der Waals Ambipolar Ferroelectric Configurable Optical Hetero‐Synapses for In‐Sensor Computing

Jinxuan Bai, Dawei He, Bingjie Dang, Keqin Liu, Zhen Yang, Jiarong Wang, Xiaoxian Zhang, Yongsheng Wang, Yaoyu Tao, Yuchao Yang

Advanced Materials· Volume 36· Issue 50
Publisher page

Abstract

Abstract The rapid development of visual neuromorphic hardware can be attributed to their ability to capture, store and process optical signals from the environment. The main limitation of existing visual neuromorphic hardware is that the realization of complex functions is premised on the increase of manufacturing cost, hardware volume and energy consumption. In this study, we demonstrated an optical synaptic device based on a three‐terminal van der Waals (vdW) heterojunction that can realize the sensing functions of light wavelength and intensity as well as short‐term and long‐term synaptic plasticity. In the image recognition task, we constructed an optical reservoir neural network (ORNN) and a visible light communication system (VLC) composed of this optical synaptic device. The ORNN has a recognition rate of up to 84.9% for 50 000 color images in 10 categories in the CIFAR‐10 color image dataset, and the VLC system can achieve high‐speed transmission with an ultra‐low power consumption of only 0.4 nW. This work shows that through reasonable design, vdW heterojunction structures have great application potential in low‐power multifunctional fusion application tasks such as visual bionics.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Neural Networks and Reservoir Computing · Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices

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

Affiliations

Key Laboratory of Luminescence and Optical Information Ministry of Education Institute of Optoelectronic Technology Beijing Jiaotong University Beijing 100044 China

Beijing Advanced Innovation Center for Integrated Circuits School of Integrated Circuits Peking University Beijing 100871 China

Guangdong Provincial Key Laboratory of In‐Memory Computing Chips School of Electronic and Computer Engineering Peking University Shenzhen 518055 China

Center for Brain Inspired Chips Institute for Artificial Intelligence Frontiers Science Center for Nano‐optoelectronics Peking University Beijing 100871 China

Center for Brain Inspired Intelligence Chinese Institute for Brain Research (CIBR), Beijing Beijing 102206 China

Funding

National Basic Research Program of China · National Natural Science Foundation of China · Natural Science Foundation of Beijing Municipality · Higher Education Discipline Innovation Project

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