A paper recently published in Scientific Reports demonstrated the effectiveness of a novel strategy based on photoluminescence (PL) spectroscopy and machine learning (ML)-based theoretical analysis ...

For the production of highly efficient solar cells, efficient charge carrier extraction is essential, and to enhance charge extraction, electron and hole extraction layers are routinely incorporated ...

Scientists at Osaka University have developed a robotic system that uses machine learning to automate the assessments of novel solar cells. The researchers described their findings in “Exploration of ...

Edinburgh Instruments, a pioneer in advanced photoluminescence instrumentation, is excited to announce the launch of its latest product innovation, the FS5 v2 Spectrofluorometer. Building on the ...