Institute of Optoelectronic Display, National & Local United Engineering Lab of Flat Panel Display Technology, Fuzhou University, Fuzhou 350002, China.
Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350100, China.
Nano Lett. 2022 Sep 14;22(17):7275-7283. doi: 10.1021/acs.nanolett.2c02995. Epub 2022 Aug 24.
Developing multifunctional artificial sensory systems is an important task for constructing future artificial neural networks. A system with multisignal output capability is highly required by the rising demand for high-throughput data processing in the Internet of Things (IoT) society. Here, a novel dual-output artificial tactile sensing (DOATS) system with parallel output of photoelectric signals was proposed. Because of the ionic-electronic coupling mechanism in light-emitting synaptic (LES) devices in the DOATS system, modulating electric current and light emission can coexist through ion accumulation and electron-hole recombination. As a result, the DOATS system can realize the simulation of human tactile information, and the recognition of 16 kinds of fabrics was demonstrated with an accuracy rate of 94.1%. A photoelectric hybrid artificial neural network was proposed, which achieved efficient and accurate multitask operation. The DOATS system proposed in this work is promising for implementing photoelectric hybrid neural network and promoting the development of interactive artificial intelligence.
开发多功能人工感觉系统是构建未来人工神经网络的一项重要任务。随着物联网（IoT）社会对高通量数据处理的需求不断增长，人们迫切需要一种具有多信号输出能力的系统。在这里，我们提出了一种具有光电信号并行输出的新型双输出人工触觉传感（DOATS）系统。由于 DOATS 系统中的发光突触（LES）器件中的离子-电子耦合机制，通过离子积累和电子-空穴复合，可以同时调制电流和光发射。因此，DOATS 系统可以实现对人类触觉信息的模拟，并且可以以 94.1%的准确率识别 16 种织物。我们还提出了一种光电混合人工神经网络，可以实现高效准确的多任务操作。本工作中提出的 DOATS 系统有望实现光电混合神经网络，并促进交互式人工智能的发展。
