State Key Laboratory for Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Center of Materials Science and Optoelectronic Engineering, University of Chinese Academy of Sciences, Beijing, 100083, China.
Nat Commun. 2022 Oct 10;13(1):5975. doi: 10.1038/s41467-022-33716-9.
Anisotropy control of the electronic structure in inorganic semiconductors is an important step in developing devices endowed with multi-function. Here, we demonstrate that the intrinsic anisotropy of tellurium nanowires can be used to modulate the electronic structure and piezoelectric polarization and decouple pressure and temperature difference signals, and realize VR interaction and neuro-reflex applications. The architecture design of the device combined with self-locking effect can eliminate dependence on displacement, enabling a single device to determine the hardness and thermal conductivity of materials through a simple touch. We used a bimodal Te-based sensor to develop a wearable glove for endowing real objects to the virtual world, which greatly improves VR somatosensory feedback. In addition, we successfully achieved stimulus recognition and neural-reflex in a rabbit sciatic nerve model by integrating the sensor signals using a deep learning technique. In view of in-/ex-vivo feasibility, the bimodal Te-based sensor would be considered a novel sensing platform for a wide range application of metaverse, AI robot, and electronic medicine.
无机半导体中电子结构的各向异性控制是开发多功能器件的重要步骤。在这里,我们证明碲纳米线的固有各向异性可用于调节电子结构和压电极化,解耦压力和温差信号,并实现虚拟现实交互和神经反射应用。该器件的结构设计与自锁定效应相结合,可以消除对位移的依赖,使单个器件能够通过简单触摸确定材料的硬度和导热率。我们使用基于碲的双模传感器开发了一种可穿戴手套,将真实物体赋予虚拟世界,从而大大提高了虚拟现实的触觉反馈。此外,我们通过使用深度学习技术整合传感器信号,成功地在兔坐骨神经模型中实现了刺激识别和神经反射。鉴于体内/外的可行性,基于碲的双模传感器将被视为元宇宙、人工智能机器人和电子医学等广泛应用的新型传感平台。