Predicting Scale-Up of Metal-Organic Framework Syntheses with Large Language Models

Researchers developed ScaleMOF, a dataset and fine-tuning strategy that enables large language models to predict and prioritize viable candidates for scaling up metal-organic framework syntheses.

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