Optimized cross-attention GRU-transformer network with sooty tern algorithm for accurate solar power forecasting. [PDF]
Usha N, Manoharan PS.
europepmc +1 more source
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley +1 more source
Light‐induced halide segregation limits the stability of mixed‐halide perovskites. This perspective shows how different mechanistic models can be viewed within a common free‐energy framework. It highlights the need to separate kinetic and thermodynamic aspects, the need for bulk‐sensitive measurements, and the need for controlled conditions to identify
Markus Griesbach +3 more
wiley +1 more source
Conservation and Targeted Wild Tending of <i>Schisandra chinensis</i> Under Global Change: Informed by SDMs and Fingerprint Analysis of Climate-Land-Composition Responses. [PDF]
Duan D +6 more
europepmc +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Subambient daytime radiative cooling to mitigate haze-induced amplification of urban heat islands. [PDF]
Dong M +5 more
europepmc +1 more source
Economic Impact of Sustainability in Wine Sector: A Systematic Literature Review
ABSTRACT Sustainability has become a key issue in the wine sector, raising questions about its compatibility with firms' economic performance. Despite growing attention to environmental and social practices, evidence on their economic implications remains fragmented.
Valentina Di Chiara +2 more
wiley +1 more source
Proactive Irrigation Timing Decision-Making for Greenhouse Tomatoes via STL-LSTM Deep Learning and Plant-Soil Dual-Threshold Sensing. [PDF]
Zhou W, Li Z, Dong Y, Li L, Liu S.
europepmc +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

