The Open Materials 2024 (OMat24) inorganic materials dataset and models
- DOI
- 10.1038/s43588-026-00996-w
- Published
- 2026-06-02
- Container
- Nature Computational Science
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s43588-026-00996-w,
title = {The Open Materials 2024 (OMat24) inorganic materials dataset and models},
author = {Luis Barros-Luque and Muhammed Shuaibi and Xiang Fu and Brandon M. Wood and Misko Dzamba and Meng Gao and Ammar Rizvi and Matt Uyttendaele and C. Lawrence Zitnick and Zachary W. Ulissi},
year = {2026},
journal = {Nature Computational Science},
doi = {10.1038/s43588-026-00996-w},
url = {https://doi.org/10.1038/s43588-026-00996-w}
}RIS
TY - JOUR TI - The Open Materials 2024 (OMat24) inorganic materials dataset and models AU - Luis Barros-Luque AU - Muhammed Shuaibi AU - Xiang Fu AU - Brandon M. Wood AU - Misko Dzamba AU - Meng Gao AU - Ammar Rizvi AU - Matt Uyttendaele AU - C. Lawrence Zitnick AU - Zachary W. Ulissi PY - 2026 JO - Nature Computational Science DO - 10.1038/s43588-026-00996-w UR - https://doi.org/10.1038/s43588-026-00996-w ER -
APA
Barros-Luque, L., Shuaibi, M., Fu, X., Wood, B. M., Dzamba, M., Gao, M., Rizvi, A., Uyttendaele, M., Zitnick, C. L., & Ulissi, Z. W. (2026). The Open Materials 2024 (OMat24) inorganic materials dataset and models. Nature Computational Science. https://doi.org/10.1038/s43588-026-00996-w
Source records
- crossref · retrieved 2026-09-26T11:29:28.150Z