Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

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 ...

Large-scale production of organic solar cells with high efficiency and minimal environmental impact. This can now be made possible through a new design principle developed at Linköping University, ...

A Netherlands-based collaboration between Kalpana Systems, HyETSolar, and research laboratory TNO has been launched to advance the commercialisation of perovskite solar cells. The Perovision Project ...

Large-scale production of organic solar cells with high efficiency and minimal environmental impact. In the study, the researchers studied molecule shape and interaction in organic solar cells.