Unearthing experimental materials data buried in scientific papers using LLMs

The technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists therefore strive to develop and improve new materials, but predicting material properties is not a simple task. Data science is key to transforming this field, and new AI-powered tools are expected to accelerate the exploration, collection and management of material property data worldwide.