https://github.com/hackingmaterials/matminer

Data mining for materials science
https://github.com/hackingmaterials/matminer

condensed-matter data-mining machine-learning materials-science matminer

Last synced: about 2 months ago
JSON representation

Data mining for materials science

• Host: GitHub
• URL: https://github.com/hackingmaterials/matminer
• Owner: hackingmaterials
• License: other
• Created: 2015-09-24T20:37:00.000Z (almost 9 years ago)
• Default Branch: main
• Last Pushed: 2024-04-29T08:06:14.000Z (about 2 months ago)
• Last Synced: 2024-05-01T19:34:48.495Z (about 2 months ago)
• Topics: condensed-matter, data-mining, machine-learning, materials-science, matminer
• Language: HTML
• Homepage: https://hackingmaterials.github.io/matminer/
• Size: 41.6 MB
• Stars: 437
• Watchers: 29
• Forks: 186
• Open Issues: 29
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGES.txt
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Lists

• awesome-materials-informatics - matminer - A library for data mining in materials science (**Python**). [](https://github.com/hackingmaterials/matminer) (Software and products)
• awesome-python-chemistry - Matminer - Library of descriptors to aid in the data-mining of materials properties, created by the Lawrence Berkeley National Laboratory. (Machine Learning)
• awesome-python-chemistry - Matminer - Library of descriptors to aid in the data-mining of materials properties, created by the Lawrence Berkeley National Laboratory. (Machine Learning)
• best-of-atomistic-machine-learning - GitHub - 10% open · ⏱️ 27.05.2024): (General Tools)

README

        
# 

matminer is a library for performing data mining in the field of materials science.

- **[Website (including documentation)](https://hackingmaterials.github.io/matminer/)**

- **[Examples Repository](https://github.com/hackingmaterials/matminer_examples)**

- **[Help/Support Forum](https://matsci.org/c/matminer/16)**

- **[Source Repository](https://github.com/hackingmaterials/matminer)**

matminer supports Python 3.9+.

#### Related packages:

- If you like matminer, you might also try [automatminer](https://github.com/hackingmaterials/automatminer).

- If you are interested in furthering development of datasets in matminer, you may be interested in [matbench](https://github.com/hackingmaterials/matbench).

- If you are looking for figrecipes, it is now in its [own repo](https://github.com/hackingmaterials/figrecipes).

#### Citation

If you find matminer useful, please encourage its development by citing the following paper in your research:

```

Ward, L., Dunn, A., Faghaninia, A., Zimmermann, N. E. R., Bajaj, S., Wang, Q.,

Montoya, J. H., Chen, J., Bystrom, K., Dylla, M., Chard, K., Asta, M., Persson,

K., Snyder, G. J., Foster, I., Jain, A., Matminer: An open source toolkit for

materials data mining. Comput. Mater. Sci. 152, 60-69 (2018).

```

Matminer helps users apply methods and data sets developed by the community. Please also cite the original sources, as this will add clarity to your article and credit the original authors:

- If you use one or more **datasets** accessed through matminer, check the dataset metadata info for relevant citations on the original datasets.

- If you use one or more **data retrieval methods**, check ``citations()`` method of the data retrieval class. This method will provide a list of BibTeX-formatted citations for that featurizer, making it easy to keep track of and cite the original publications.

- If you use one or more **featurizers**, please take advantage of the ```citations()``` function present for every featurizer in matminer.