Results 211 to 220 of about 316,556 (352)

Electroactive Liquid Crystal Elastomers as Soft Actuators

open access: yesAdvanced Functional Materials, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) can be actuated via electromechanical, electrochemical, or electrothermal effects. a) Electromechanical effects include Maxwell stress, electrostriction, and the electroclinic effect. b) Electrochemical effects arise from electrode redox reactions.
Yakui Deng, Min‐Hui Li
wiley   +1 more source

Application of Fuzzy Analytical Hierarchy Process (FAHP) for Selecting the Suitable Hydraulic Fracturing Method in Oil Recovery Enhancement

open access: bronze, 2018
Mohammad Hossein Ahmadi   +43 more
openalex   +1 more source

High‐Yield Synthesis of Fe‐NC Electrocatalysts Using Mg2+ Templating and Schiff‐Base Porous Organic Polymers

open access: yesAdvanced Functional Materials, EarlyView.
Fe─NC porous oxygen reduction electrocatalysts are prepared employing a 2,4,6‐Triaminopyrimidine‐based porous organic polymer, a Mg2+ Lewis acid, and a low‐temperature cation exchange protocol. Using the polymer precursor achieves high pyrolysis yields and results in atomically dispersed FeNx sites. The resulting catalysts feature hierarchical porosity
Eliot Petitdemange   +11 more
wiley   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

open access: yesAdvanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Team Leader Selection by Using an Analytic Hierarchy Process (AHP) Technique

open access: diamond, 2015
Zahraa Abed Aljasim Muhisn   +3 more
openalex   +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

Home - About - Disclaimer - Privacy