The steady growth of online materials databases, coupled with efforts in materials informatics, has invited the reexamination of existing empirical models through the lens of modern machine learning techniques. Inspired by recent efforts to improve on the Goldschmidt tolerance factor… Read More
Machine learning of octahedral tilting in oxide perovskites by symbolic classification with compressed sensing
