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 ...

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 ...

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

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 joint venture between Gautam Solar Pvt. Ltd. and the prospective partnerhas been envisioned keeping in mind the requirements of companies & investors who don’t have the technical knowhow & deep ...