Facile fabrication of NbTe2 doped with Ag via hydrothermal route for approaching the high performance toward supercapacitor applications

The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(3)

Published: March 3, 2025

Language: Английский

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Surface oxidation for surface structural stability and electronic properties of InGaN nanowire photocathodes

Materials Science and Engineering B, Journal Year: 2025, Volume and Issue: 318, P. 118311 - 118311

Published: April 14, 2025

Language: Английский

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Mechanical structure design: A survey on modern triboelectric nanogenerators

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

Published: April 17, 2025

Language: Английский

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Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

The performance of electrochemical sensors is influenced by various factors. To enhance the effectiveness these sensors, it crucial to find right balance among Researchers and engineers continually explore innovative approaches sensitivity, selectivity, reliability. Machine learning (ML) techniques facilitate analysis predictive modeling sensor establishing quantitative relationships between parameters their effects. This work presents a case study on developing molecularly imprinted polymer (MIP)-based for detecting doxorubicin (Dox), emphasizing use ML-based ensemble models improve Four ML models, including Decision Tree (DT), eXtreme Gradient Boosting (XGBoost), Random Forest (RF), K-Nearest Neighbors (KNN), are used evaluate effect each parameter prediction performance, using SHapley Additive exPlanations (SHAP) method determine feature importance. Based analysis, removing less influential introducing new significantly improved model's capabilities. By applying min-max scaling technique, ensured that all features contribute proportionally model process. Additionally, multiple models─Linear Regression (LR), KNN, DT, RF, Adaptive (AdaBoost), (GB), Support Vector (SVR), XGBoost, Bagging, Partial Least Squares (PLS), Ridge Regression─are applied data set in predicting output current compared. further novel proposed integrates GB, Bagging regressors, leveraging combined strengths offset individual weaknesses. main benefit this lies its ability MIP-based stacking regressor model, which improves methodology broadly applicable development other with different transducers sensing elements. Through extensive simulation results, demonstrated superior compared models. achieved an R-squared (R2) 0.993, reducing root-mean-square error (RMSE) 0.436 mean absolute (MAE) 0.244. These improvements enhanced sensitivity reliability sensor, demonstrating substantial gain over

Language: Английский

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Ag/Bi2WO6-based triboelectric nanogenerators for self-powered ethanol sensor

Journal of Materials Science Materials in Electronics, Journal Year: 2025, Volume and Issue: 36(11)

Published: April 1, 2025

Language: Английский

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Recent Progress in Energy Harvesting Technologies for Self‐Powered Wearable Devices: The Significance of Polymers

Polymers for Advanced Technologies, Journal Year: 2025, Volume and Issue: 36(4)

Published: April 1, 2025

ABSTRACT The growing demand for self‐powered wearable electronic devices in healthcare, fitness, and entertainment has driven significant advancements energy harvesting technologies. This review explores the latest progress mechanisms that enable sustainable autonomous devices, with a particular emphasis on role of polymers their development. Polymers offer unique combination mechanical flexibility, biocompatibility, lightweight properties, making them ideal applications. systematically categorizes major technologies into three primary mechanisms: thermoelectric generators (TEGs), piezoelectric harvesters (PEHs), triboelectric nanogenerators (TENGs). Each section provides an in‐depth discussion working principles, material innovations, fabrication techniques, applications these systems. Beyond fundamental mechanisms, discusses hybrid systems integrate multiple sources to maximize power generation ensure continuous device operation. storage technologies, such as flexible supercapacitors micro‐batteries, is also highlighted address intermittency challenges ambient sources. Despite progress, remain improving conversion efficiency, enhancing durability, optimizing system integration real‐world identifies key research directions overcoming challenges, including advanced materials engineering, miniaturization artificial intelligence‐driven management strategies. findings presented this provide valuable insights development next‐generation paving way efficient electronics seamlessly daily life.

Language: Английский

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Integrating triboelectric nanogenerators with precision acupuncture for technological advancement in traditional healing

Materials Today Chemistry, Journal Year: 2025, Volume and Issue: 46, P. 102744 - 102744

Published: May 12, 2025

Language: Английский

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An energy harvesting floating slab track for self-powered monitoring sensors in urban rail transit systems

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136795 - 136795

Published: May 1, 2025

Language: Английский

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