基于有机机械发光的超薄、明亮、灵敏的交互式触觉显示器,用于双模式手写识别

IF 22.7 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Infomat Pub Date : 2024-05-06 DOI:10.1002/inf2.12523
Tingting Hou, Wenlang Li, Haoyu Wang, Yuantian Zheng, Chaojie Chen, Haoran Zhang, Kai Chen, Huilin Xie, Xin Li, Shaoshuai He, Siwei Zhang, Dengfeng Peng, Cheng Yang, Jacky W. Y. Lam, Ben Zhong Tang, Yunlong Zi
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引用次数: 0

摘要

基于可见光的人机交互媒体能够向机器传输电子读数,并同时向用户提供直观的反馈。目前,许多基于无机机械发光材料(ML)的互动媒体,特别是 ZnS 载荧光粉(ZLPs),已经得到成功验证。然而,基于有机 ML 材料的解决方案尽管具有结构修饰性强、发光特性丰富、成本低廉、易于制备等巨大优势,却很少被利用。在此,我们提出了一种基于有机 ML 材料(Cz-A6-染料)和三电纳米发电机的新型交互式触觉显示器(ITD),与 ZLPs 相比,它具有超高亮度(增强 130%)和超低阈值压力(降低 57%)。拟议的 ITD 可同时将微弱的机械刺激转化为可见光和电信号,而无需额外的电源。此外,有机 ML 材料的发光性能与机械力之间的关系也得到了量化,这得益于所制备的均匀 ML 层。在卷积神经网络的支持下,同时实现了对笔迹和用户身份的高精度识别(97.1%)。因此,ITD 在智能可穿戴电子设备和机密军事应用方面具有巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual-mode handwriting identification

An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual-mode handwriting identification

An ultra thin, bright, and sensitive interactive tactile display based on organic mechanoluminescence for dual-mode handwriting identification

Visible light-based human–machine interactive media is capable of transmitting electrical readouts to machines and providing intuitive feedback to users simultaneously. Currently, many inorganic mechanoluminescent (ML) materials-based interactive media, typically ZnS-loaded phosphors (ZLPs), have been successfully demonstrated. However, organic ML materials-based solutions were rarely exploited despite their huge merits of strong structural modification, abundant luminescence property, low cost, easy preparation, and so on. Here, we propose a novel interactive tactile display (ITD) based on organic ML materials (Cz-A6-dye) and triboelectric nanogenerator, with ultra-brightness (130% enhancement) and ultra-low threshold pressure (57% reduction) as compared to ZLPs. The proposed ITD achieves the conversion of weak mechanical stimuli into visible light and electrical signals simultaneously, without extra power supplies. Furthermore, the relationship between the luminous performance of organic ML materials and mechanical force is quantified, benefiting from the uniform ML layer prepared. Enabled by convolutional neural networks, the high-accuracy recognition (97.1%) for handwriting and identity of users is realized at the same time. Thus, the ITD has great potential for intelligent wearable electronics and classified military applications.

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来源期刊
Infomat
Infomat MATERIALS SCIENCE, MULTIDISCIPLINARY-
CiteScore
37.70
自引率
3.10%
发文量
111
审稿时长
8 weeks
期刊介绍: InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.
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