Flexible Triboelectric Nanogenerators
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "A：Physics".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 642
Special Issue Editor
Special Issue Information
Dear Colleagues,
With the rapid advancement of the Internet of Things (IoT) and the era of ubiquitous connectivity, there is an increasing demand for sustainable, lightweight, and pervasive power sources. Traditional rigid batteries, limited by their lifespan and form factor, often hinder the development of conformable and autonomous electronic systems. In this context, Flexible Triboelectric Nanogenerators (TENGs) have emerged as a revolutionary technology capable of converting ambient mechanical energy—such as body motion—into electricity. Due to their unique advantages, including high flexibility, material diversity, and high-power density, flexible TENGs are considered a key technology for next-generation self-powered systems, bridging the gap between energy harvesting and the requirements of flexible electronics.
This Special Issue, titled "Flexible Triboelectric Nanogenerators", seeks to highlight the latest research and technological breakthroughs in this dynamic field. We invite submissions that explore the design, fabrication, and integration of flexible TENGs, with a particular focus on their applications in Human–Machine Interfaces (HMIs), real-time health monitoring, and wearable electronic devices. Topics of interest include, but are not limited to, the development of novel nanomaterials for enhanced output performance, self-powered active sensors for physiological signal detection, smart textiles, and integrated systems for energy harvesting and storage. Both original research articles and comprehensive reviews addressing these advancements and their potential to revolutionize intelligent bioelectronics are welcome.
Dr. Juan Cui
Guest Editor
Manuscript Submission Information
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Keywords
- flexible triboelectric nanogenerator
- nanomaterials
- energy harvesting
- self-powered sensors
- wearable devices
- energy management
- human–machine interface
- health monitoring
- AI integration
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