Material Language

"Materials language" research focuses on developing computational methods to process and understand the vast amount of textual information in materials science literature. Current efforts center on adapting large language models (LLMs) and graph neural networks, often incorporating ontologies, to perform tasks like information extraction, materials classification, and even generative design of new materials. This field aims to accelerate materials discovery and development by automating knowledge extraction and enabling more efficient analysis of existing data, ultimately impacting various scientific disciplines and technological advancements.