Material Science

Materials science research is increasingly leveraging artificial intelligence to accelerate materials discovery and understanding, primarily focusing on extracting and analyzing data from the vast corpus of scientific literature. Current efforts utilize large language models (LLMs), graph neural networks (GNNs), and other machine learning techniques to perform tasks such as property prediction, information extraction from text and tables, and even the automated control of scientific instruments. These advancements promise to significantly enhance the efficiency and effectiveness of materials research, leading to faster development of new materials with tailored properties for various applications.