自愈水凝胶
水下
计算机科学
人工智能
材料科学
肿胀 的
算法
铁
传输(电信)
钥匙(锁)
机器学习
吸收(声学)
降级(电信)
一般化
信号(编程语言)
纳米技术
氯化物
共聚物
作者
Hao Dong,Chuanliu Liu,Yiming Luo,Dongyu Si,Menghan Zhao,Fangyu Zhao,Yixue Zhang,Wx Zeng,Eman Ramadan Elsharkawy,Xiaoteng Liu,Zeinhom M. El‐Bahy,Hua Hou,Zhanhu Guo,Huige Wei
摘要
ABSTRACT As the key sensing component of flexible sensors, conductive hydrogels are prone to mechanical property degradation and signal deterioration owing to water absorption and swelling in underwater environments. Herein, an anti‐swelling ion‐conducting hydrogels are designed by incorporating ferric chloride (FeCl 3 ) and β‐cyclodextrin (β‐CD) into acrylamide‐acrylic acid copolymer (MA) via a one‐pot method, short for MAF x D y . Thanks to the synergism of β‐CD and Fe 3+ , the swelling ratio of MAF x D y is significantly reduced comparted to its counterparts, for example, 4% for MAF 0.2 D 0.3 , compared to 760% for MAF 0.2 hydrogel without β‐CD and 526% for MAD 0.3 without Fe 3+ after soaking in deionized water for 30 days. Notably, the multimodal underwater sensor constructed based on the MAF 0.2 D 0.3 hydrogel can not only monitor underwater human joint motion but also realizes the accurate transmission of underwater information with the help of Morse code. Moreover, aided by machine learning algorithms, this study proposes a novel shortcut key recognition strategy to achieve precise and rapid information transmission via letter recognition (with a recognition accuracy of 98.6%), dramatically shortening the time required for underwater communication. This study provides innovative solutions by the rational design of anti‐swelling ion‐conducting hydrogels for reliable and fast underwater communications.
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