Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition
Multiwavelength Optoelectronic Synapse with 2D Materials for Mixed-Color Pattern Recognition
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DOI：
10.1021/acsnano.2c01035
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发表时间：
2022-05-25
期刊：
影响因子：
17.1
通讯作者：
Roy, Tania
中科院分区：
文献类型：
--
作者：
Islam, Molla Manjurul;Krishnaprasad, Adithi;Roy, Tania
模拟生物视网膜功能的神经形态视觉系统在传感器内计算方面具有巨大的潜力，使人工智能无处不在。传统上，视觉信息由图像传感器捕获，由存储器单元存储，并最终由机器学习算法处理。在这里，我们提出了一个光电突触设备与多功能集成的所有过程所需的真实的时间对象识别。紫外-可见光波长敏感的MoS 2 FET沟道与红外敏感的PtTe 2/Si栅电极使该器件能够感测、存储和处理宽范围电磁波谱的光学数据，同时保持低暗电流。该装置表现出光刺激控制的短时程和长时程增强，电驱动的长时程抑制，突触重量更新的多个波长的光范围从300 nm的紫外线到2 μ m的红外线。可以训练使用所提取的设备的权重更新参数开发的人工神经网络来识别单波长和混合波长模式。这项工作展示了一种设备，可以潜在地用于实现多波长神经形态视觉系统的模式识别和对象识别。
Neuromorphic visual systems emulating biological retina functionalities have enormous potential for in-sensor computing, with prospects of making artificial intelligence ubiquitous. Conventionally, visual information is captured by an image sensor, stored by memory units, and eventually processed by the machine learning algorithm. Here, we present an optoelectronic synapse device with multifunctional integration of all the processes required for real time object identification. Ultraviolet- visible wavelength-sensitive MoS2 FET channel with infrared sensitive PtTe2/Si gate electrode enables the device to sense, store, and process optical data for a wide range of the electromagnetic spectrum, while maintaining a low dark current. The device exhibits optical stimulation-controlled short-term and long-term potentiation, electrically driven long-term depression, synaptic weight update for multiple wavelengths of light ranging from 300 nm in ultraviolet to 2 mu m in infrared. An artificial neural network developed using the extracted weight update parameters of the device can be trained to identify both single wavelength and mixed wavelength patterns. This work demonstrates a device that could potentially be used for realizing a multiwavelength neuromorphic visual system for pattern recognition and object identification.