Using machine learning to find reliable and low-cost solar cells
Published Date: 4/18/2023
Source: sciencedaily.com
Hybrid perovskites are organic-inorganic molecules that have received a lot of attention over the past 10 years for their potential use in renewable energy. Some are comparable in efficiency to silicon for making solar cells, but they are cheaper to make and lighter, potentially allowing a wide range of applications, including light-emitting devices. However, they tend to degrade way more readily than silicon when exposed to moisture, oxygen, light, heat, and voltage. Researchers used machine learning and high-throughput experiments to identify perovskites with optimal qualities out of the very large field of possible structures.