Predicting new research directions in materials science using large language models and concept graphs - Nature Machine Intelligence Marwitz et al. demonstrate 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.

A new system maps scientific literature to predict emerging research trends years ahead, inspiring scientists to navigate near or mid-term future research directions.

www.nature.com/articles/s42...

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