Results 91 to 100 of about 7,260 (279)

Dynamic Etching‐Induced Cl‐Terminated Ti3C2Clx/Ti3ZnC2 Heterostructure for Ammonia Electrosynthesis and Zinc‐Nitrogen Batteries

open access: yesAdvanced Science, EarlyView.
A stable Ti3C2Clx/Ti3ZnC2 heterostructure, fabricated by dynamic etching, exhibits outstanding electrocatalytic NRR activity (NH3 yield: 20.1 µg h−1 mg−1, FE: 38.1%) in alkaline media. The corresponding Zn‐N2 battery achieves a peak power density of 36.5 µW cm−2 and an NH3 yield of 13.1 µg h−1 mg−1, providing an advanced strategy for NH3 and ...
Yu Wang   +9 more
wiley   +1 more source

Integrated Experimental and Theoretical Insights into Defect‐Induced Functionalities of Cobalt Doped NiO for Multifunctional Solar‐Driven Applications

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Rational defect engineering in Co‐doped NiO nanostructures, synthesized via a sustainable green route, enables precise bandgap modulation and defect‐state tailoring. Combined experimental–density functional theory analysis identifies 15% Co doping as the optimal threshold for maximizing photocatalytic degradation, photothermal response, and hydrogen ...
Sumayya M. Ansari   +8 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

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

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam   +7 more
wiley   +1 more source

Gaussian Mixture Model‐Based Data Association Incorporating a Deep Learning Network for Multivehicle Tracking and Detection in Autonomous Driving Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a real‐time light detection and ranging‐camera fusion framework for vehicle detection and tracking. Using a Gaussian mixture model‐based association and improved affinity metrics, the method enhances tracking reliability in dynamic conditions.
Muhammad Adeel Altaf, Min Young Kim
wiley   +1 more source

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