材料科学
热致变色
双模
模式(计算机接口)
热电效应
对偶(语法数字)
触觉传感器
光电子学
纳米技术
声学
电子工程
人机交互
计算机科学
人工智能
凝聚态物理
物理
文学类
工程类
艺术
热力学
机器人
作者
Jingyi Xu,Shuang Xia,Peng Lu,Ying Cao,Yuan Shen,Ju Bai,Ting Zhang,Tie Li
标识
DOI:10.1002/adfm.202514339
摘要
Abstract Flexible tactile sensor has emerged as a key component in wearable electronics, intelligent robotics et al., owing to the excellent mechanical compliance and multimodal sensing capabilities. Although the application for solid detection is demonstrated, high‐accurate recognition of liquid properties remains a critical challenge due to their inherent fluidity and complex thermophysical characteristics. Herein, a new‐style dual‐mode passive flexible tactile sensor is presented via integrating an Ag 2 Se@PU thermoelectric foam with a thermochromic TCPs substrate and a TPU protective layer, capable of simultaneously capturing electrical and visual signals associated with the temperature variations in liquids under a non‐contact mode, showing a minimal temperature resolution of 0.3 K. In addition, this device exhibits excellent flexibility, hydrophobicity and mechanical durability, especially maintains high thermoelectric response stability after over 5000 cycles. In practical liquid classification, this sensor can accurately distinguish different drinking water and methanol‐ethanol mixtures, achieving ultra‐high recognition accuracy of 100% by employing a convolutional neural network trained on the fused thermoelectric and colorimetric dual‐mode signals, which outperforms single‐mode approaches in identifying highly similar liquid compositions. This work provides a feasible strategy, by combining material‐level optimization and multimodal data integration, for high‐precision liquid analysis in wearable diagnostics, intelligence robots and so on.
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