Off-the-shelf language models predict synthesis precursors and temperatures for inorganic materials, and their generated recipes, when mixed with real data, improve specialized prediction models.
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Language Models Enable Data-Augmented Synthesis Planning for Inorganic Materials
Off-the-shelf language models predict synthesis precursors and temperatures for inorganic materials, and their generated recipes, when mixed with real data, improve specialized prediction models.