MODNet -- accurate and interpretable property predictions for limited materials datasets by feature selection and joint-learning

Pierre-Paul De Breuck, Geoffroy Hautier, Gian-Marco Rignanese

In order to make accurate predictions of material properties, current machine-learning approaches generally require large amounts of data, which are often not available in practice…