journal article·2023-03Open access

Advanced Functional Composite Materials toward E‐Skin for Health Monitoring and Artificial Intelligence

Qi‐Jun Sun, Qin‐Teng Lai, Zhenhua Tang, Xin‐Gui Tang, Xin‐Hua Zhao, Vellaisamy A. L. Roy

Advanced Materials Technologies· Volume 8· Issue 5

Abstract

Abstract Electronic skin (E‐skin), especially the wearable sensors efficiently detect various stimuli attracted huge research interest owing to their potential applications in health monitoring and artificial intelligence. On the other hand, functional polymer composites possessing excellent properties such as light weight, good flexibility, and superior electrical performances, are promising candidates as building blocks for flexible electronics. Accordingly, tremendous efforts are devoted to the development of polymer composites with functional properties for E‐skin applications. Here, recent advances on the controlled fabrication of various fillers based functional polymer composites and their diverse applications in E‐skin are reviewed. In addition, contemporary studies on fabrication strategies, working mechanisms, and device performance for E‐skin based on the functional polymer composites are reviewed, including flexible pressure sensors, strain sensors, temperature sensors, energy harvesters, and transistors. Furthermore, the applications of functional composite based flexible electronics in healthcare and artificial intelligence are discussed. Finally, the existing challenges and opportunities for the functional composite materials based E‐skin are summarized.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Gas Sensing Nanomaterials and Sensors

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Physics and Optoelectric Engineering Guangdong University of Technology Guangzhou 511400 P. R. China

Department of Chemistry South University of Science and Technology of China Shenzhen 518055 P. R. China

James Watt School of Engineering University of Glasgow Glasgow G12 8QQ UK

Funding

National Natural Science Foundation of China

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