Results 111 to 120 of about 5,074,594 (286)

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Textile‐Based Capacitive Pressure Sensors Enabled by Ultrasonic Spray‐Coated Carbon Black Electrodes and Electrostatic Flocking

Advanced Materials Interfaces, EarlyView.
A 4‐layer Kevlar‐based composite is fabricated by combining ultrasonic spraying and electrostatic flocking. Carbon black dispersion is first deposited onto Kevlar fabric to create a conductive electrode. Nylon fibers are then electrostatically flocked onto the coated fabric, forming a dielectric layer.
Mengdi Chen, Hongxuan Li, Lei Shi, Fei Huang, Yuting Zhu, Wee Chen Gan, Swee Tiam Tan, Kean Aw   +7 more
wiley   +1 more source

The design of an effective sensor fusion model for condition monitoring systems of turning processes [PDF]

, 2008
High energy price and the increasing requirements of quality and low cost of products have created an urgent need to implement new technologies in current automated manufacturing environments.
Al-Azmi, A F, Al-Azmi, Abdulrahman F
core  

Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]

Sensors (Basel), 2023
Shah M, Borade H, Sanghavi V, Purohit A, Wankhede V, Vakharia V.   +5 more
europepmc   +1 more source

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

Advanced Materials Interfaces, EarlyView.
This review systematically evaluates synthesis routes for tri‐ and multi‐doped graphene, from hydrothermal and pyrolysis methods to flash Joule heating, critically assessing how each governs dopant incorporation, bonding configuration, and resulting electronic properties.
Maria Hasan, Alicja Bachmatiuk, Gražyna Simha Martynková, Karla Čech Barabaszová, Mark Hermann Rümmeli   +4 more
wiley   +1 more source

Dental Microwear Texture Analysis on Radular Teeth

Advanced Materials Interfaces, EarlyView.
3D microwear textures reveal how gastropod radular teeth respond to controlled abrasive contact. Distinct surface signatures distinguish regular abrasion from fracture‐dominated material removal, showing how mineralized coatings, fibrous cores, and substrate properties jointly shape wear and failure in a biological scraping interface.
Wencke Krings, Stanislav N. Gorb, Ellen Schulz‐Kornas   +2 more
wiley   +1 more source

Knot-TPP: A Unified Deep Learning Model for Process Incidence and Tool Wear Monitoring in Stacked Drilling

Journal of Manufacturing and Materials Processing
In drilling Carbon-Fibre-Reinforced Polymers (CFRP)/Al stacks, adaptive drilling facilitates the optimisation of cutting parameters for each constituent stack layer and tool wear, thus enhancing cutting efficiency and borehole quality.
Jiduo Zhang, Robert Heinemann, Otto Jan Bakker   +2 more
doaj   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals. [PDF]

Sensors (Basel), 2021
Ferrando Chacón JL, Fernández de Barrena T, García A, Sáez de Buruaga M, Badiola X, Vicente J.   +5 more
europepmc   +1 more source