Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model

📰 ArXiv cs.AI

arXiv:2509.06093v4 Announce Type: replace-cross Abstract: Materials synthesis procedures are predominantly documented as narrative text in papers, protocols, and laboratory records, placing them beyond the reach of conventional data-driven optimization frameworks. This language-native character poses a particular challenge for complex, multistage processes such as the preparation of boron nitride nanosheets (BNNS), where outcomes depend on path-dependent choices in exfoliation, functionalization

Published 2 Jun 2026
Read full paper → ← Back to Reads