Predicting new research directions in materials science using large language models and concept graphs

Nature Machine Intelligence, Published online: 01 April 2026; doi:10.1038/s42256-026-01206-y Marwitz nstrate the use of large language models to build semantic concept graphs from materials science abstracts and train a machine learning model to predict emerging topic combinations from historical data. They show that the model enables experts to find suggestions that can inspire new research.