AIBullisharXiv – CS AI · 10h ago6/10
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Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose?
Researchers introduced PolyLM, a 9-billion-parameter language model that predicts polymer physical and mechanical properties directly from scientific literature without requiring structural chemical data. The model achieved a median R² of 0.74 across 22 diverse properties by training on 185,000 papers and 276,400 polymer samples, demonstrating that natural language processing can effectively capture the experimental context that traditional structure-only models miss.