Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We propose fine-tuning large language models for generation of stable materials. While unorthodox, fine-tuning large language models on text-encoded atomistic data is simple to implement yet reliable, with around 90% of sampled structures obeying physical constraints on atom positions and charges. Using energy above hull calculations from both lear...
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Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
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TN_cdi_proquest_journals_2923543567
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2923543567
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2331-8422
