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 ...

Solar power is an important source of renewable energy. Therefore, in several projects, Statistic Netherlands carries out research with which we can improve the estimate of the total amount of solar ...

As solar and wind energy ramps up in the United States, the industries have gotten better at installing and operating their facilities. This experience can be seen in how the facilities are financed.

BOSTON--(BUSINESS WIRE)--Sunwealth, the innovative clean energy investment firm delivering market-rate returns and wider-reaching social and environmental impact, today announced the completion of the ...

Perovskite solar cells (PSCs) have attracted significant attention in recent years due to their exceptional power conversion efficiencies and low-cost fabrication potential. However, accurately ...

We must also ensure that the anticipated levels of future PV deployment can be supported by a global manufacturing infrastructure while also minimizing adverse societal and environmental impacts.

On remote river islands in eastern India’s Assam state, solar power is helping children access education more reliably, reports Mongabay India’s Shailesh Shrivastava. Schools in Assam’s Brahmaputra ...

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 ...

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 ...