Materials science in the era of large language models: a perspective

arXiv:2403.06949v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have garnered considerable interest due to their impressive natural language capabilities, which in conjunction with various emergent properties make them versatile tools in workflows ranging from complex code generation to heuristic finding for combinatorial problems. In this paper we offer a perspective on their applicability to materials science research, arguing their ability to handle ambiguous requirements across a range of tasks and disciplines mean they could be a powerful tool to …

abstract arxiv capabilities code code generation cond-mat.mtrl-sci cs.cl language language models large language large language models llms materials materials science natural natural language paper perspective science them tools type workflows