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 ...

A technology-agnostic RAIS™ framework combining robotics, digital site intelligence, and field-proven construction ...

How can machine learning help determine the best times and ways to use solar energy? This is what a recent study published in Advances in Atmospheric Sciences hopes to address as a team of researchers ...

Solar-collecting windows could make office buildings and skyscrapers more energy efficient, but harnessing solar power while retaining transparency is a tricky engineering problem. A new study from ...

Ecoprogetti has developed a custom solar testing machine for the Dubai Electricity and Water Authority’s Research & Development Center, located within the Mohammed bin Rashid Al Maktoum Solar Park, ...

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 ...

A solar expert got many talking when he showed the electric lifter he used to install a bifacial panel on a customer's roof.