LLMs can also analyse patterns and relationships within a knowledge graph to generate hypotheses-based suggestions for suitable search spaces pertaining to potentially novel materials and properties. For instance, by understanding the relationship between crystal structure and electronic properties, LLMs coupled to knowledge graphs could likely be used to suggest new compositions or corresponding search spaces for magnets, battery materials or solar cell absorbers.