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oqmd

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魔搭社区2026-01-06 更新2025-05-31 收录
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https://modelscope.cn/datasets/jablonkagroup/oqmd
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资源简介:
## Dataset Details ### Dataset Description Open Quantum Materials Database (OQMD) is a database of DFT-computed thermodynamic and structural properties of materials. We used a compilation of a prior version of this database. - **Curated by:** - **License:** CC-BY 4.0 ### Dataset Sources - [raw data source](https://oqmd.org/) ## Citation <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> **BibTeX:** ```bibtex @article{yamamoto2019crystal, title={Crystal graph neural networks for data mining in materials science}, author={Yamamoto, Takenori}, journal={Research Institute for Mathematical and Computational Sciences, LLC}, year={2019} } @article{kirklin2015open, title={The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies}, author={Kirklin, Scott and Saal, James E and Meredig, Bryce and Thompson, Alex and Doak, Jeff W and Aykol, Muratahan and R{\"u}hl, Stephan and Wolverton, Chris}, journal={npj Computational Materials}, volume={1}, number={1}, pages={1--15}, year={2015}, publisher={Nature Publishing Group} }{spa} ```

## 数据集详情 ### 数据集描述 开放量子材料数据库(Open Quantum Materials Database, OQMD)是一个存储通过密度泛函理论(Density Functional Theory, DFT)计算得到的材料热力学与结构性质的数据库。本次研究使用了该数据库早期版本的汇编数据集。 - **数据整理方:** - **授权协议:** CC-BY 4.0 ### 数据集来源 - [原始数据来源](https://oqmd.org/) ## 引用说明 <!-- 若有介绍该数据集的论文或博客文章,请在此处添加其APA与BibTeX引用格式信息。 --> **BibTeX引用格式:** bibtex @article{yamamoto2019crystal, title={Crystal graph neural networks for data mining in materials science}, author={Yamamoto, Takenori}, journal={Research Institute for Mathematical and Computational Sciences, LLC}, year={2019} } @article{kirklin2015open, title={The Open Quantum Materials Database (OQMD): assessing the accuracy of DFT formation energies}, author={Kirklin, Scott and Saal, James E and Meredig, Bryce and Thompson, Alex and Doak, Jeff W and Aykol, Muratahan and R{"u}hl, Stephan and Wolverton, Chris}, journal={npj Computational Materials}, volume={1}, number={1}, pages={1--15}, year={2015}, publisher={Nature Publishing Group} }{spa}
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maas
创建时间:
2025-05-27
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