Results 91 to 100 of about 146,503 (260)
Ultra‐White Elastomeric Coatings for Daytime Radiative Cooling
Passive daytime radiative cooling meets elasticity in a new class of ultra‐white silicone coatings. Combining high solar reflectance with strong sky‐window emission, they hold surfaces below ambient temperature under full sunlight while remaining flexible and stretchable. This combination of cooling performance and mechanical flexibility enables energy‐
Abdulrahman Aljwirah +5 more
wiley +1 more source
Bismuth nanogratings are fabricated by pulsed laser deposition onto the nanostructured silver and polycarbonate surfaces of DVDs. They display spectrally‐narrow plasmon resonances yielding vivid colors, which are strongly sensitive to the polarization of light, angle of incidence, nature of the underlying surface and of the surrounding medium (air or ...
Fernando Chacón‐Sánchez +5 more
wiley +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
KNOWLEDGE-BASED ECONOMY AND INNOVATIVE DEVELOPMENT
The contemporary socio-economic and scientific-technological development is characterized by globalization, integration of economies, rapid movement of goods, services, people, capital and ideas.
N. M. Abdikeev
doaj
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
The Economics of Knowledge and the Knowledge Economy: On the Changing Meaning of Externalities
This paper proposes a change of perspective for approaching the knowledge economy. We need to go beyond the economics of knowledge centered on “knowledge production” focusing instead on the stylized facts of economic progress, such as the evolving ...
Davide Gualerzi
doaj +2 more sources
The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley +1 more source
Universities and the Knowledge-Based Economy
Tim Vorley, Helen Lawton Smith
openaire +2 more sources
This study uncovers an unusual RNAi pathway in the rhizarian pathogen Plasmodiophora brassicae. In the absence of Dicer, a Drosha‐like RNase III protein supports the biogenesis of predominant 21‐nt small RNAs, and two Argonaute proteins mediate small RNA‐guided silencing.
Xiong Zhang +13 more
wiley +1 more source

