Results 151 to 160 of about 1,632,640 (245)
Revista Tecnología en Marcha. Vol. 30-3. Julio-Setiembre 2017
Revista Tecnología en marcha
doaj +2 more sources
This graphical abstract presents an integrated workflow for optimizing perovskite thin film fabrication by tuning ink rheology, refining processing parameters, and controlling crystallization. Viscosity control and process optimization precisely regulate wet film thickness and drying time, while crystallization directed by solvent additives yields ...
Alejandra Flórez +8 more
wiley +1 more source
This study presents a novel structural electrolyte reinforced with glass fiber and a polyvinyl alcohol/epoxy matrix incorporating optimized lithium salt and ceramic nanofiller. Its multifunctionality—mechanical, electrochemical, and thermomechanical—is evaluated using various characterization techniques.
Maryam Niazi +5 more
wiley +1 more source
ABSTRACT This study examines whether information about production methods and social norms can increase consumers' willingness to pay (WTP) a price premium for food produced using climate‐friendly farming methods. A randomized survey experiment was conducted with 1568 respondents across Denmark, Lithuania, and Spain, who were assigned to one of four ...
Kassa Tarekegn Erekalo +5 more
wiley +1 more source
Revista Tecnología en Marcha. Vol. 29-4. Octubre-diciembre 2016
Revista Tecnología en marcha
doaj +2 more sources
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar +3 more
wiley +1 more source
Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira +13 more
wiley +1 more source
This work establishes an MXene‐based S‐scheme heterojunction in which the cooperative interplay among metallic Ni, surface NiOx domains, and conductive Ti3C2Clx drives efficient charge separation and photothermal coupling. Progressive evolution of Ni surface states regulates the CH4/CH3OH product distribution by modulating interfacial energetics and ...
Dawid D. Kruger +6 more
wiley +2 more sources
Bubbles Acting as Micro End‐Effectors for Dexterous Manipulation and Sensing in Aqueous Environment
Inspired by bubbles, this article proposes a low‐cost method for multifunctional manipulation and sensing using microbubbles in aqueous environments. Bubbles are easily generated in situ, enabling the safe and adaptive handling of microobjects and sensing of microforces and surface textures.
Zichen Xu, Qingsong Xu
wiley +1 more source

