Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Chemistry, Energy Chemistry, Inorganic Chemistry, Materials Chemistry, Materials Science, Information Science, Artificial Intelligence,
perovskite   high-throughput synthesis   artificial neural network   chemical space   spectroscopic data   material prediction   machine learning  

Academic Background Perovskite materials have attracted extensive attention due to their wide applications in solar cells and other electronic devices. Their optical properties (such as bandgap and lattice vibrations) can be flexibly modulated by tuning the chemical composition. Although the prediction of optical properties from perovskite structur...