【Domestic Papers】High temperature resistant solar-blind ultraviolet photosensor for neuromorphic computing and cryptography

      Neuromorphic computing and cryptography are vital in modern society. Neuromorphic computing can drive the development of artificial intelligence, improve medical care, scientific research and other fields; Cryptography can ensure information security, safeguard personal privacy, national security and ensure the reliability of e-commerce. Together, they promote social progress and safeguard people's quality of life and social stability. Recently, the research team of Professor Guozhen Shen and Associate Professor Ying Li at the Beijing Institute of Technology and Professor Chongxin Shan at Zhengzhou University have prepared a high-temperature GaO_X  Solar-blind photoelectric synapse that can be applied to neuromorphic computing and cryptography. The relevant research results are entitled "High temperature resistant solar-blind ultraviolet photosensor for neuromorphic computing and cryptography" was published in Advanced Functional Materials.

Abstract

      High-temperature Solar-blind photoelectric synapses are in great demand in aerospace, fire warning and other fields. They integrate sensing and processing functions and can realize complex functions such as learning, recognition and memory, but preparing such devices is still a huge challenge. The researchers propose a two-end GaO_X  Solar-blind photoelectric synapse that works at high temperatures and could be applied to neuromorphic computing and cryptography. The device has a high internal gain, and the device can detect light intensity of nW·cm^-2 , so it has excellent Solar-blind photoelectric detection performance. In addition, the device has sensitive light detection capabilities and a variety of synaptic properties, demonstrating excellent image sensing and memory capabilities. At the same time, the device shows stable photoelectric detection and synaptic performance even at a temperature of 610 K, which can be practically applied to harsh environments such as high temperatures. In addition, by constructing an artificial neural network, the researchers realized the device's high precision recognition of handwritten digits at 610 K, constructed a 12×12 pixel optical synaptic array, and applied it to cryptography. The prepared array device can sense and encrypt in the same device at the same time. The research is expected to promote the practical application of Ga₂O₃  in harsh environments.

DOI: 10.1002/adfm.202315383