Estimating best nanomaterial for energy harvesting through reinforcement learning DQN coupled with fuzzy PROMETHEE under road-based conditions DOI Creative Commons

Sekar Kidambi Raju,

Ganesh Karthikeyan Varadarajan,

Amal H. Alharbi

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Oct. 14, 2024

Energy harvesters based on nanomaterials are getting more and popular, but their way to commercial availability, some crucial issues still need be solved. The objective of the study is select an appropriate nanomaterial. Using features Reinforcement Deep Q-Network (DQN) in conjunction with Fuzzy PROMETHEE, proposed model, we present this work a hybrid fuzzy approach selecting materials for vehicle-environmental-hazardous substance (EHS) combination that operates roadways under traffic conditions. DQN able accumulate useful experience operating dynamic environment, accordingly deliver highest energy output at same time bring consideration factors such as durability, cost, environmental impact. PROMETHEE allows participation human experts during decision-making process, going beyond quantitative data typically learned by through inclusion qualitative preferences. Instead, method unites strength individual approaches, result providing highly resistant adjustable material selection real EHS. pointed out can give high efficiency reference years service, price, effects. model provides 95% accuracy computational 300 s, application hypothesis practical testing chosen showed selected harvest fluctuating conditions proved concept True Vehicle Environmental High-risk Substance scenarios.

Language: Английский

Triboelectric kinetic energy harvesters DOI
Amir Musa Abazari,

Asˈad Alizadeh,

M. Barzegar Gerdroodbary

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 187 - 256

Published: Jan. 1, 2025

Language: Английский

Citations

0

Triboelectric Nanogenerator Fabricated from High-Charge-Density, Wear-Resistant MoS2 Nanosheet-PDMS Composite for Energy Harvesting and Motion Detection DOI
Kun Zhao, Jiahao Zhou, Zongqiang Gao

et al.

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

Published: Feb. 20, 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

Force-Electric Biomaterials and Devices for Regenerative Medicine DOI

Shuncheng Yao,

Xi Cui, Yong Zhang

et al.

Biomaterials, Journal Year: 2025, Volume and Issue: unknown, P. 123288 - 123288

Published: March 1, 2025

Language: Английский

Citations

0

Mechanical structure design: A survey on modern triboelectric nanogenerators DOI

Mina Nazarian-Samani,

Sima A. Alidokht, Héloïse Thérien‐Aubin

et al.

Applied Energy, Journal Year: 2025, Volume and Issue: 391, P. 125918 - 125918

Published: April 17, 2025

Language: Английский

Citations

0

Thermally Stable and Shape‐Adaptive Triboelectric Nanogenerators Based on Liquid Electrolytes with Low Vapor Pressure DOI Creative Commons
Teklebrahan Gebrekrstos Weldemhret, Nebiyou Tadesse Debele,

Sofonias Nursefa Kedir

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Abstract Aqueous solution‐based liquid electrode triboelectric nanogenerators (TENGs) have attracted considerable interest in recent years due to their exceptional stretchability, deformability, and inherent shape‐adaptability. However, previous aqueous TENGs face challenges related drying, which may lead operational failures. In this study, a low‐vapor pressure (LVPL) TENG (LVPL‐TENG) is presented that uses branched polyethyleneimine (bPEI) or deep eutectic solvent, choline chloride/glycerol (ChCl:Gly), increase the stability of at high temperatures. The LVPL‐TENGs achieve power density ≈6.2 4.0 w m −2 when using bPEI ChCl:Gly as electrodes, respectively. Furthermore, these devices remarkable energy harvesting capabilities while being stretched up 400%. Importantly, maintain constant electrical output after stored 100 °C for 24 h. Utilizing simple single‐electrode design, can efficiently harvest various small physiological movements, i.e., finger bending, grasping coffee cup, clicking computer mouse. Additionally, potential function self‐powered tactile sensors detect touch any material object, indicating promising applications realm human‐machine interaction. This study opens new avenues deploying stretchable shape‐adaptable operating

Language: Английский

Citations

0

Self-powered water condition monitoring system based on rotational electromagnetic generator DOI
Xu Zhou,

Mingqi Mei,

Tianyi Tang

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136124 - 136124

Published: April 1, 2025

Language: Английский

Citations

0

Progress in Wearable Bionic Sensors for Biomedical Applications DOI
Qin-Juan Xu,

Fengchang Huang,

Xidi Sun

et al.

Macromolecular Chemistry and Physics, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Abstract With the continuous advancements in flexible electronics and growing emphasis on personal health, wearable sensing systems for biomedical applications have garnered significant attention. Wearable sensors with bionic inspired microstructures emerged as an effective strategy enabling innovative designs optimizing performance. These not only exhibit high sensitivity biocompatibility but also feature unique additional properties, such self‐healing hydrophobicity, adhesiveness, offering substantial advantages over traditional sensors. Consequently, they enable efficient detection monitoring of various health signals daily life. This review systematically introduces common materials utilized fabrication sensors, including polymers substrates, active layers, conductive electrodes. Subsequently, types structures enhancing sensors’ mechanical electronic properties are discussed. Additionally, recent presented. Ultimately, challenges future directions this field critically analyzed.

Language: Английский

Citations

0

TENG-Boosted Smart Sports with Energy Autonomy and Digital Intelligence DOI Creative Commons

Yunlu Wang,

Zihao Gao, Wei Wu

et al.

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: May 21, 2025

Abstract Technological advancements have profoundly transformed the sports domain, ushering it into digital era. Services leveraging big data in intelligent sports—encompassing performance analytics, training statistical evaluations and metrics—have become indispensable. These tools are vital aiding athletes with their daily regimens devising sophisticated competition strategies, proving crucial pursuit of victory. Despite potential, wearable electronic devices used for motion monitoring subject to several limitations, including prohibitive cost, extensive energy usage, incompatibility individual spatial structures, flawed analysis methodologies. Triboelectric nanogenerators (TENGs) instrumental development self-powered devices/systems owing remarkable capacity harnessing ambient high-entropy from environment. This paper provides a thorough review emerging trends TENG-based sports, focusing on physiological monitoring, performance, event refereeing assistance, injury prevention rehabilitation. Excluding potential influence psychological factors, this detailed discourse present challenges prospects boosting smart autonomy intelligence. study presents innovative insights motivations propelling evolution toward more sustainable efficient future humanity.

Language: Английский

Citations

0

Stretchable and stable neuromorphic tactile system DOI
Yaqian Liu, Hui Wang, Jia‐Ming Lin

et al.

Journal of Materials Chemistry C, Journal Year: 2024, Volume and Issue: 12(29), P. 10979 - 10984

Published: Jan. 1, 2024

A performance-stable tactile neuron is developed, which integrates a stretch-insensitive triboelectric nanogenerator with an artificial in single device, and 64 × neuromorphic matrix established to process touch signals.

Language: Английский

Citations

3