AI RESEARCH
Language-Native Materials Processing Design by Lightly Structured Text Database and Reasoning Large Language Model
arXiv CS.AI
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ArXi:2509.06093v4 Announce Type: replace-cross 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, and functionalization.