Results 271 to 280 of about 1,216,409 (346)

Combinatorial Nb‐Doped TiO2 Wafers: Phase‐Defect Coengineering for Efficient and Reusable Photocatalysis

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Combinatorial Nb‐doped TiO2 wafers with a lateral dopant gradient enable rapid mapping of how phase composition and defects influence photocatalytic activity. Optimized Nb content generates mixed anatase–rutile phases together with beneficial Ti3+ and oxygen vacancy defects, boosting dye‐degradation efficiency fivefold.
Raja Elrahoumi   +10 more
wiley   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

open access: yesAgribusiness, EarlyView.
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó   +3 more
wiley   +1 more source

The abundances of carbon and nitrogen in the atmospheres of classical Be stars. [PDF]

open access: yesAstrophys Space Sci
Peters GJ   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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