Using machine learning to find reliable and low-cost solarcells

Davis CA (SPX) Apr 18, 2023
Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and machine learning-based algorithms, they have found it is possible to forecast the materials’ dynamic behavior with very high accuracy, without the need to perform as many experiments. Hybrid per This article was originally published by Solardaily.com. Read the original article here.