qm9
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下载链接:
https://modelscope.cn/datasets/jablonkagroup/qm9
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资源简介:
## Dataset Details
### Dataset Description
QM9 is a comprehensive dataset that provides geometric, energetic,
electronic and thermodynamic properties for a subset of GDB-17
database, comprising 134 thousand stable organic molecules with up
to 9 heavy atoms. All molecules are modeled using density
functional theory (B3LYP/6-31G(2df,p) based DFT).
- **Curated by:**
- **License:** CC0 1.0
### Dataset Sources
- [original data source](https://figshare.com/collections/Quantum_chemistry_structures_and_properties_of_134_kilo_molecules/978904)
- [parsed dataset in csv format](https://huggingface.co/datasets/n0w0f/qm9-csv/blob/main/qm9_dataset.csv)
## 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{ramakrishnan2014quantum,
title={Quantum chemistry structures and properties of 134 kilo molecules},
author={Ramakrishnan, Raghunathan and Dral, Pavlo O and Rupp, Matthias and Von Lilienfeld, O Anatole},
journal={Scientific data},
volume={1},
number={1},
pages={1--7},
year={2014},
publisher={Nature Publishing Group}}
@article{ruddigkeit2012enumeration,
title={Enumeration of 166 billion organic small molecules in the chemical universe database GDB-17},
author={Ruddigkeit, Lars and Van Deursen, Ruud and Blum, Lorenz C and Reymond, Jean-Louis},
journal={Journal of chemical information and modeling},
volume={52},
number={11},
pages={2864--2875},
year={2012},
publisher={ACS Publications}}
```
### 数据集详情
#### 数据集概述
QM9是一款完备数据集,针对GDB-17数据库的子集提供几何、能量、电子与热力学性质,涵盖13.4万个含至多9个重原子的稳定有机分子。所有分子均基于密度泛函理论(Density Functional Theory,DFT),采用B3LYP/6-31G(2df,p)方法进行建模。
- **整理方:**
- **许可协议:** CC0 1.0
#### 数据集来源
- [原始数据源](https://figshare.com/collections/Quantum_chemistry_structures_and_properties_of_134_kilo_molecules/978904)
- [CSV格式解析数据集](https://huggingface.co/datasets/n0w0f/qm9-csv/blob/main/qm9_dataset.csv)
#### 引用信息
<!-- 若该数据集存在对应的介绍论文或博客文章,需在此处附上APA及BibTeX格式的引用信息。 -->
**BibTeX格式引用:**
bibtex
@article{ramakrishnan2014quantum,
title={Quantum chemistry structures and properties of 134 kilo molecules},
author={Ramakrishnan, Raghunathan and Dral, Pavlo O and Rupp, Matthias and Von Lilienfeld, O Anatole},
journal={Scientific data},
volume={1},
number={1},
pages={1--7},
year={2014},
publisher={Nature Publishing Group}}
@article{ruddigkeit2012enumeration,
title={Enumeration of 166 billion organic small molecules in the chemical universe database GDB-17},
author={Ruddigkeit, Lars and Van Deursen, Ruud and Blum, Lorenz C and Reymond, Jean-Louis},
journal={Journal of chemical information and modeling},
volume={52},
number={11},
pages={2864--2875},
year={2012},
publisher={ACS Publications}}
提供机构:
maas
创建时间:
2025-05-28
搜集汇总
数据集介绍

背景与挑战
背景概述
QM9数据集包含来自GDB-17数据库的134,000个稳定有机分子,每个分子最多有9个重原子,提供了几何、能量、电子和热力学等多方面性质。所有分子数据均基于B3LYP/6-31G(2df,p)的密度泛函理论计算得到,确保了计算的一致性和准确性。数据集采用CC0 1.0许可证,便于学术和商业使用。
以上内容由遇见数据集搜集并总结生成



