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Materials, Design, and Performance of Nanogenerators

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Energy Materials".

Deadline for manuscript submissions: 20 September 2025 | Viewed by 266

Special Issue Editors


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Guest Editor
School of Fashion and Textiles, The Hong Kong Polytechnic University, QT 809 Hung Hom, Kowloon, Hong Kong
Interests: nanogenerator; piezoelectric and triboelectric nanogenerator; self-powered system; wearable electronics

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Guest Editor
School of Fashion and Textiles, The Hong Kong Polytechnic University, QT 809 Hung Hom, Kowloon, Hong Kong
Interests: nanogenerators; self-powered mems/nems system; flexible electronics (electronic textiles and stretchable electronics)

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Guest Editor
Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, China
Interests: fluid mechanics sensing; turbulence mapping; self-powered sensing; triboelectric nanogenerator; hybrid system; silk fibroin material science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nanogenerators (NGs), as an emerging energy-harvesting technology that has witnessed rapid development in recent years by efficiently converting mechanical energy into electrical energy to power electronics, demonstrate significant potential in wearable electronics, the Internet of Things (IoT), and artificial intelligence. From the initial proof of concept to diverse applications, this field is progressing at an astonishing rate, attracting global research attention.

In NG research, structural design, material selection, and optimization are crucial factors that determine device performance. A well-engineered structural design, along with the use of high-performance materials, can significantly enhance the output power and energy conversion efficiency of NGs. These characteristics make NGs a promising technology in fields such as energy harvesting and self-powered sensing. Therefore, exploring new materials and improving the performance of existing materials are crucial for advancing this area of research. This Special Issue invites submissions from researchers worldwide to share the latest research findings on materials, design, and performance of nanogenerators. We look forward to receiving original research papers and review articles that will collectively promote the development of this cutting-edge technology.

Dr. Chengyu Li
Dr. Youchao Qi
Dr. Zijie Xu
Guest Editors

Manuscript Submission Information

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Keywords

  • materials and structural design in nanogenerators
  • advanced manufacturing technologies
  • energy harvesting and system integration
  • active sensing and self-powered intelligent systems

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Published Papers (1 paper)

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Research

9 pages, 5740 KiB  
Article
Anti-Freezing Conductive Ionic Hydrogel-Enabled Triboelectric Nanogenerators for Wearable Speech Recognition
by Tao Chen, Andeng Liu, Wentao Lei, Guoxu Wu, Jiajun Xiang, Yixin Dong, Yangyang Chen, Bingqi Chen, Meidan Ye, Jizhong Zhao and Wenxi Guo
Materials 2025, 18(9), 2014; https://doi.org/10.3390/ma18092014 - 29 Apr 2025
Viewed by 104
Abstract
Flexible wearable electronics face critical challenges in achieving reliable physiological monitoring, particularly due to the trade-off between sensitivity and durability in flexible electrodes, compounded by mechanical modulus mismatch with biological tissues. To address these limitations, we develop an anti-freezing ionic hydrogel through a [...] Read more.
Flexible wearable electronics face critical challenges in achieving reliable physiological monitoring, particularly due to the trade-off between sensitivity and durability in flexible electrodes, compounded by mechanical modulus mismatch with biological tissues. To address these limitations, we develop an anti-freezing ionic hydrogel through a chitosan/acrylamide/LiCl system engineered via the solution post-treatment strategy. The optimized hydrogel exhibits exceptional ionic conductivity (24.1 mS/cm at 25 °C) and excellent cryogenic tolerance. Leveraging these attributes, we construct a gel-based triboelectric nanogenerator (G-TENG) that demonstrates ultrahigh sensitivity (1.56 V/kPa) under low pressure. The device enables the precise capture of subtle vibrations at a frequency of 1088 Hz with a signal-to-noise ratio of 16.27 dB and demonstrates operational stability (>16,000 cycles), successfully differentiating complex physiological activities including swallowing, coughing, and phonation. Through machine learning-assisted analysis, the system achieves 96.56% recognition accuracy for five words and demonstrates good signal recognition ability in different ambient sound scenarios. This work provides a paradigm for designing environmentally adaptive wearable sensors through interfacial modulus engineering and ion transport optimization. Full article
(This article belongs to the Special Issue Materials, Design, and Performance of Nanogenerators)
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