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Large language models in materials science and the need for open-source approaches

arXiv — cs.CL•Monday, November 17, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
Large language models (LLMs) are significantly impacting materials science by enhancing the materials discovery pipeline. This review focuses on three main applications: mining scientific literature, predictive modeling, and multi-agent experimental systems. LLMs are capable of extracting synthesis conditions from texts, learning structure-property relationships, and coordinating systems that integrate computational tools with laboratory automation. The review advocates for the adoption of open-source models, which can match the performance of closed-source alternatives while providing transparency, reproducibility, cost-effectiveness, and data privacy.
— via World Pulse Now AI Editorial System
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