Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:software
|
| gptkbp:citation |
Ong, S. P., et al. (2013). Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis. Computational Materials Science, 68, 314-319.
|
| gptkbp:developer |
gptkb:Materials_Virtual_Lab
gptkb:Shyue_Ping_Ong |
| gptkbp:documentation |
https://pymatgen.org
|
| gptkbp:firstReleased |
2011
|
| gptkbp:fullName |
gptkb:Python_Materials_Genomics
|
| https://www.w3.org/2000/01/rdf-schema#label |
pymatgen
|
| gptkbp:latestReleaseVersion |
2024.5.31
|
| gptkbp:license |
gptkb:MIT_License
|
| gptkbp:npmPackage |
gptkb:pymatgen
|
| gptkbp:platform |
Cross-platform
|
| gptkbp:programmingLanguage |
gptkb:Python
|
| gptkbp:relatedTo |
gptkb:Materials_Project
|
| gptkbp:repository |
https://github.com/materialsproject/pymatgen
|
| gptkbp:usedFor |
materials informatics
electronic structure analysis materials analysis generation of input files for materials science codes crystal structure manipulation parsing output files from materials science codes |
| gptkbp:bfsParent |
gptkb:Materials_Project
|
| gptkbp:bfsLayer |
7
|