MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition-Reference-Cited by-同舟云学术

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MXene-Based Skin-Like Hydrogel Sensor and Machine Learning-Assisted Handwriting Recognition

Published:2024-07-24 Issue:31 Volume:16 Page:41583-41595
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Wang Fengying¹,Song Dengke¹,Zhou Can¹,Li Xusheng¹,Huang Yang¹,Xu Wenlong¹²^ORCID,Liu Guijing¹,Zhou Song³

Affiliation:

1. School of Chemistry and Materials Science, Ludong University, Yantai 264025, China

2. Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai 264000, China

3. Basic Teaching Department, Yantai Vocational College, Yantai 264670, China

Funder

National Natural Science Foundation of China

Youth Innovation Technology Support Program of Universities in Shandong Province

Science Fund of Shandong Laboratory of Advanced Materials and Green Manufacturing (Yantai)

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c10043

Reference70 articles.

1. Ultrastretchable E‐Skin Based on Conductive Hydrogel Microfibers for Wearable Sensors

2. Plasmon-Assisted Polarity Switching of a Photoelectric Conversion Device by UV and Visible Light Irradiation

3. Mechanochromic Optical/Electrical Skin for Ultrasensitive Dual-Signal Sensing

4. Skin-like hydrogels: design strategy and mechanism, properties, and sensing applications

5. Development and applications of mussel-inspired composite hydrogels for flexible bioelectronics

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