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 ...

Today IBM Research announced that solar and wind forecasts produced using machine learning and other cognitive computing technologies are proving to be as much as 30 percent more accurate than ones ...

Some students who want to learn about solar energy equipment installation will see tuition bills go down at Hudson Valley Community College. On Wednesday, school officials announced a partnership with ...

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 ...

FORECAST AND BEYOND. COMING UP, NEW ON WYFF NEWS FOUR AT NOON. ALL SPARTANBURG COUNTY SCHOOL DISTRICTS WILL BE ON E-LEARNING DAYS FOR THE NEXT BIG SOLAR ECLIPSE THAT’S HAPPENING APRIL EIGHTH. ALL ...

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 ...