Cited by Triboelectric signal enhancement via interface structural design and integrated with deep learning for real-time online material recognition

Real-time and sensitive detection, recognition, and removal of nanoplastics in water based on a BaTiO3-PDMS liquid-solid TENG DOI

Manli Lu,

Bin Guo,

Sili Chen

et al.

Applied Materials Today, Journal Year: 2025, Volume and Issue: 44, P. 102738 - 102738

Published: April 23, 2025

Language: Английский

Citations

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

Elastic Yet Strength Triboelectric Aerogel Enabled by Constructing a Supramolecular System DOI

Xunxiao Wu,

Tao Liu, Yuhang Qiu

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

Abstract Elastic aerogels are ultra‐lightweight, highly porous materials widely used in fields such as sensing, aerospace, and thermal insulation. However, constrained by weak mechanical properties under deformation, the strength elasticity of mutually exclusive difficult to reconcile. In this study, a triboelectric aerogel with centripetal structure is constructed using supramolecular system combination ice‐templating, resulting outstanding (specific 186.67 kN m kg −1 ) rapid recovery speed (792 mm s ). The key reconciling lies multiscale structural synergy, mitigating local stress through controlled inelastic deformation balance resistance deformation. A portable sensor developed based on material, offering motion protection posture monitoring. This study addresses challenge aerogels, providing new insights for designing elastic smart materials.

Language: Английский

Citations

Triboelectric signal enhancement via interface structural design and integrated with deep learning for real-time online material recognition DOI

Cheng Shen,

Jingyi Chen,

Yue Liu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 156874 - 156874

Published: Oct. 1, 2024

Language: Английский

Citations