Nature Computational Science · 1 Sept 2026 · Editorial

Reproducibility in the era of large language models.

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The Open Materials 2024 (OMat24) inorganic materials dataset and models.
Nature Computational Science · 1 June 2026 · Journal Article
Open Materials 2024 dataset enables machine learning models to surpass previous standards, achieving F1 scores above 0.9 and 20 meV per atom accuracy in inorganic materials.
- 18 cites
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NEP89: universal neuroevolution potential for inorganic and organic materials across 89 elements.
Nature Computational Science · 1 July 2026 · Journal Article
NEP89 delivers high-accuracy, computationally efficient atomistic simulations across 89 elements, enabling large-scale studies previously limited by resource demands.
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- 28 cites
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https://jclub.com.au/a/42420553
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