New Zealand researchers have proposed a way to assess the technical and economic feasibility of PV-powered parking machines. Solar might be an ideal solution, but the siting of the machines is ...

An EPFL research project has developed a method based on machine learning to quickly and accurately search large databases, leading to the discovery of 14 new materials for solar cells. As we ...

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Researchers at Korea University have developed a machine learning model for predicting sheet resistance in phosphorus oxychloride (POCl3) doping processes in solar cell manufacturing. “Our study aims ...

Here’s what you’ll learn when you read this story: Solar-collecting windows could make office buildings and skyscrapers more energy efficient, but harnessing solar power while retaining transparency ...

Perovskites are a class of materials with great potential as solar cells. UC Davis materials scientists have used machine learning to explore the wide variety of perovskite formulas to find those best ...

Two agriculture students from the Central University of Odisha have won first prize at INNOVISION 2026 for developing a solar-powered seed pelleting machine. The device addresses seed displacement ...

An astonishing 82% decrease in the cost of solar photovoltaic (PV) energy since 2010 has given the world a fighting chance to build a zero-emissions energy system which might be less costly than the ...