Results 171 to 180 of about 162,223 (399)

Thermodynamic analysis of an isobaric compressed air energy storage (I-CAES) combined with low grade waste heat

open access: diamond, 2019
Mingming Liu   +5 more
openalex   +1 more source

Solvent‐Free Bonding Mechanisms and Microstructure Engineering in Dry Electrode Technology for Lithium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
Dry electrode technology revolutionizes battery manufacturing by eliminating toxic solvents and energy‐intensive drying. This work details two promising techniques: dry spray deposition and polymer fibrillation. How their unique solvent‐free bonding mechanisms create uniform microstructures for thicker, denser electrodes, boosting energy density and ...
Yuhao Liang   +7 more
wiley   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha   +18 more
wiley   +1 more source

Energy storage using compressed air

open access: yesMining Machines, 2023
KACZMARCZYK, Krzysztof   +1 more
openaire   +1 more source

Droplet Triboelectrification on Liquid‐Like Polymer Brushes

open access: yesAdvanced Functional Materials, EarlyView.
This work investigates the triboelectrification of water droplets on polymer brush‐coated surfaces exhibiting minimal contact line pinning. Such surfaces enable the systematic study of electrode patterning and controlled changes in droplet contact area.
Mohammad Soltani   +5 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

Resonance Analysis of Single Screw Expander Based on Compressed Air Energy Storage System [PDF]

open access: diamond, 2023
Xiaofeng Song   +5 more
openalex   +1 more source

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