Machine Learning Accelerates Discovery of Optimal Perovskites for Solar Energy
Researchers from the Swiss Federal Institute of Technology Lausanne discovered perovskites with the perfect band gap for solar applications. Scientists found around 14 new solar cell materials by inculcating a machine-learning program, an advanced version of Density Functional Theory
United States Alfredo Pasquarello Haiyuan Wang Solar Energy Swiss Federal Institute Of Technology Lausanne Journal Of The American Chemical Society
Source: azom.com