This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
CO2 behavior amidst the COVID-19 pandemic in the United Kingdom: The role of renewable and non-renewable energy development. [PDF]
Adebayo TS +5 more
europepmc +1 more source
Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
A novel hybrid deep learning and chaotic dynamics approach for thyroid cancer classification
Timely and accurate diagnosis is crucial in addressing the global rise in thyroid cancer, ensuring effective treatment strategies and improved patient outcomes. We present an intelligent classification method that couples an Adaptive Convolutional Neural
Nada Bouchekout +7 more
doaj +1 more source
This study investigates the relationship between energy consumption and ecological sustainability in South Africa over the period 1990–2023, with a particular focus on the roles of renewable energy consumption, non-renewable energy consumption, and ...
Palesa Milliscent Lefatsa, Sanele Gumede
doaj +1 more source
This paper examines the nexus amid renewable energy, non-renewable energy consumption, CO2 emissions and economic growth in South Africa. VECM and Granger causality approach were employed in the paper.
Ahmed Oluwatobi ADEKUNLE
doaj
Heterogeneous analysis of pollution abatement via renewable and non-renewable energy: lessons from investment in G20 nations. [PDF]
Ajide KB, Mesagan EP.
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Investigating the role of export product diversification for renewable, and non-renewable energy consumption in GCC (gulf cooperation council) countries: does the Kuznets hypothesis exist? [PDF]
Fatima T +4 more
europepmc +1 more source
The Future of Energy: Exploring Renewable and Non-Renewable Resources
This comprehensive article delves into the evolving energy landscape, contrasting renewable and non-renewable resources to highlight the global transition toward sustainable energy systems. It underscores the pivotal role of renewable energy sources, such as solar, wind, hydroelectric, and geothermal, as viable solutions to combat climate change and ...
Rashed Ahmed, Md. Tanzimur Rahman Tamim
openaire +1 more source

