High-performance triboelectric nanogenerators doped with carbon nanomaterials derived from cobalt-nickel bimetallic organic frameworks for harvesting low-frequency mechanical energy DOI

Shunfa Chen,

S. Hong,

Yuanyuan Li

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 159111 - 159111

Published: Dec. 1, 2024

Language: Английский

Diminishing potential well barrier in bi-stable energy harvesters by introducing symmetric stiffness DOI

Li Zhao,

Ying Gong, Fan Shen

et al.

Thin-Walled Structures, Journal Year: 2025, Volume and Issue: 209, P. 112880 - 112880

Published: Jan. 5, 2025

Language: Английский

Citations

2

Self-Powered Metal Corrosion Protection System Based on Bi2Ti2O7 Nanoparticle/Poly(vinyl chloride) Composite Film DOI
Kun Zhao,

Jiabei Zhang,

Jiahao Zhou

et al.

ACS Applied Nano Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 13, 2025

Language: Английский

Citations

0

Facile fabrication of micro-nano structure on Polydimethylsiloxane film surface for enhancing material recognition accuracy of machine learning-assisted triboelectric nanogenerator DOI
Junjun Huang, Wenlong Chen,

Yuting Zong

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 161796 - 161796

Published: March 1, 2025

Language: Английский

Citations

0

Silk Protein-Based Triboelectric Nanogenerators for Energy Harvesting and Self-Powered Sensing DOI
Bo Shang, Chenyu Wang, Xiaoxue Wang

et al.

Sensors and Actuators A Physical, Journal Year: 2025, Volume and Issue: unknown, P. 116449 - 116449

Published: March 1, 2025

Language: Английский

Citations

0

Frequency influence on freestanding-mode triboelectric nanogenerators DOI
Zhongjie Li, Bingyan Cui, Hengyu Guo

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 162060 - 162060

Published: March 1, 2025

Language: Английский

Citations

0

Determining the Predominant Materials for Triboelectric Nanogenerator Fabrication: A Bibliometric and a Systematic Analysis DOI
Julio Guerra, Isabel Quinde, Gerardo Collaguazo

et al.

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 764 - 764

Published: March 28, 2025

Introduction: Triboelectric Nanogenerators (TENGs) have gained considerable attention as efficient energy-harvesting devices based on the triboelectric effect and electrostatic induction. Their performance is highly dependent materials used, which influence charged generation efficiency, durability, application potential. Despite significant advancements in material design, a comprehensive analysis of most frequently used their impact output remains limited.Methods: A bibliometric systematic review was conducted to identify predominant TENG fabrication. Data collected from Scopus Web Science, analyzing publication trends, co-occurrence, metrics. co-occurrence network performed using VOSviewer, experimental studies were systematically reviewed evaluate correlation between selection voltage (Voc). Results: The revealed that PTFE, FEP, PVDF, PDMS, carbon-based nanomaterials are utilized due high polarity electrical stability. highest reported Voc values exceeded 400 V, with hybrid materials, nanostructured interfaces, electrode engineering significantly enhancing performance. Additionally, China, United States, South Korea identified leading contributors research.Conclusions: This study quantitatively assesses trends findings offer valuable insights for researchers engineers working next-generation TENGs, facilitating optimization self-powered large-scale energy harvesting applications.

Language: Английский

Citations

0

Flexible magnet/Fe layers-based triboelectric sensors for continuous monitoring of elbow bending with a low minimum sensing angle DOI
Q.W. Zhang, Zhongjie Li, Long Li

et al.

Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110946 - 110946

Published: April 1, 2025

Language: Английский

Citations

0

Hydrophobic and Elastic Structural Triboelectric Materials Enabled by Template Method toward Real-Time Material Recognition DOI
Junjun Huang,

Yuting Zong,

Kunhong Hu

et al.

ACS Sensors, Journal Year: 2024, Volume and Issue: 9(11), P. 5945 - 5954

Published: Nov. 7, 2024

Since each material has a unique ability to lose or obtain electrons, specific triboelectric signals are produced when materials in contact with different objects. Triboelectric nanogenerator (TENG) devices show great potential for use as tactile sensors; nevertheless, analyzing the structure-function relationship of functionalized sensing interfaces under environmental conditions and improving stability accuracy through design hydrophobic structure on surface remain major challenges development intelligent networks. Compared traditional rigid micronanostructure, elastic micronanostructure strategy is applied achieve both hydrophobicity based template method this work. The corresponding roughness angle 89.9 nm 117.9°, respectively. As expected, output voltage charge density enhanced by almost 65.8 33.4%, respectively, establishment an surface. More importantly, signal waveforms also present acceptable durability subsequent recognition after immersion water ethanol 12 days metal impact 000 cycles. Hence, combined deep machine learning effect, perception system integrated moisture-resistant TENG-based sensor fatigue testing, data processing, display modules developed real-time monitoring approximately 100% (mask), 76% (plank), 93% (plastic), 89% (rubber) identification accuracies natural environment. Finally, proposed broad application field human-computer interaction.

Language: Английский

Citations

2

High-performance triboelectric nanogenerators doped with carbon nanomaterials derived from cobalt-nickel bimetallic organic frameworks for harvesting low-frequency mechanical energy DOI

Shunfa Chen,

S. Hong,

Yuanyuan Li

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 159111 - 159111

Published: Dec. 1, 2024

Language: Английский

Citations

0