Structured domain knowledge enables trustworthy materials science question-answering with large language models

Key Points

• This research aims to enhance question-answering systems in materials science through structured domain knowledge.
• Developed a domain-aligned question-answering system
• Utilized structured database construction
• Integrated a RAG (Retrieval-Augmented Generation) pipeline for improved response accuracy
• Successfully demonstrated trustworthy question-answering capabilities
• Improved efficiency in retrieving and answering materials science-related queries