Scientists use machine learning to identify high-performing solar materials
Tuesday, March 5, 2019 - 09:40
in Physics & Chemistry
Finding the best light-harvesting chemicals for use in solar cells can feel like searching for a needle in a haystack. Over the years, researchers have developed and tested thousands of different dyes and pigments to see how they absorb sunlight and convert it to electricity. Sorting through all of them requires an innovative approach.