Results 171 to 180 of about 3,780,505 (270)

Free Charge Generation in Organic Photoconversion Devices–the Impact of Electrostatic Potentials

open access: yesAdvanced Energy Materials, EarlyView.
Free charge generation in organic photovoltaic and photodetector devices typically requires an external driving force to separate bound excitons formed upon photoexcitation. This review details how electrostatic potentials, arising from molecular charge distributions in organic semiconductors, can impact interfacial energetic landscapes and promote ...
Emily J. Yang   +3 more
wiley   +1 more source

Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language

open access: yesAgribusiness, EarlyView.
ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak   +2 more
wiley   +1 more source

Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain

open access: yesAgribusiness, EarlyView.
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
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

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

open access: yesAdvanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary   +1 more
wiley   +1 more source

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