Results 111 to 120 of about 11,232 (258)
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali +3 more
wiley +1 more source
ABSTRACT In recent decades, agriculture has become increasingly concentrated through horizontal mergers and acquisitions via corporate entities, and policy makers are concerned this will be exacerbated by the aging population of farm operators. To reduce market concentration in agriculture, many states have enacted policies to entice new prospective ...
Justin M. Ross +2 more
wiley +1 more source
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
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng +4 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Interaction Hierarchy and Polymorphic Structure–Property Dynamics in Luminescent Molecular Crystals
Competing homotypic and heterotypic intermolecular interactions give rise to polymorphic structure–property dynamics in luminescent molecular crystals. Thermal and mechanical stimuli induce distinct phase‐transition pathways accompanied by pronounced photoluminescence changes.
Mahiro Nakabayashi, Shotaro Hayashi
wiley +2 more sources
By analyzing the sugars extracted from oak chips toasted at various temperatures (180 to 280 °C) for various durations (10 to 30 min) in a model wine, we examined how wood polysaccharides are affected by toasting.
Genki Kainuma +6 more
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Phytosanitary risks of wood chips
This report describes the potential risks of spreading harmful pests and diseases by wood chips. Wood chipping is used as a measure against spread of certain harmful insects in wood, but is not effective to prevent spread of bacterial, fungal and viral pathogens. Here additional measures like composting and heating are necessary.
Kopinga, J. +3 more
openaire +1 more source

