The most-frequently opened page on NREL’s website, the “Best Research-Cell Efficiency Chart,” has become more interesting. The upgraded version offers more advanced chart customization...
Home > Press > Predicting the device performance of the perovskite solar cells from the experimental parameters through machine learning of existing experimental...
Materials scientists at the UCLA Samueli School of Engineering and colleagues from five other universities around the world have discovered the major reason why perovskite solar cells — which show great promise for improved energy-conversion efficiency — degrade in sunlight, causing their performance to suffer over time. The team successfully demonstrated a simple manufacturing adjustment to […]
Researchers at the National Renewable Energy Laboratory (NREL) and affiliated institutions across the country have bolstered the efficiency of perovskite solar cells by...
Scientists at the National Renewable Energy Laboratory (NREL) and Northern Illinois University (NIU) have successfully prevented lead from escaping damaged perovskite solar cells....
