A survey of RLM use in 28 disciplines reveals uneven adoption and introduces a maturity assessment framework showing larger gaps when limited to public resources.
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deCIFer trains an autoregressive LM on 2.3 million structures with synthetic PXRD noise to generate CIF files, reporting 94% structural match rate on synthetic inorganic test sets.
CatalyticMLLM unifies property prediction and inverse design for catalytic materials inside one graph-text multimodal LLM and reports better performance than decoupled baselines.
citing papers explorer
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Reasoning4Sciences: Bridging Reasoning Language Models to All Scientific Branches
A survey of RLM use in 28 disciplines reveals uneven adoption and introduces a maturity assessment framework showing larger gaps when limited to public resources.
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CatalyticMLLM: A Graph-Text Multimodal Large Language Model for Catalytic Materials
CatalyticMLLM unifies property prediction and inverse design for catalytic materials inside one graph-text multimodal LLM and reports better performance than decoupled baselines.