Published April 3, 2020
| Version v2020.4.2
Software
Open
materialsproject/pymatgen: v2020.4.2
Creators
- Shyue Ping Ong1
- gmatteo
- Michiel van Setten2
- Will Richards
- Matthew Horton3
- Joseph Montoya
- Richard Tran
- Anubhav Jain4
- Xiaohui Qu
- Samuel M. Blau5
- Danny Broberg
- David Waroquiers
- Kiran Mathew4
- Geoffroy Hautier
- Shyam Dwaraknath6
- Stephen Dacek
- Bharat Medasani7
- cedergroupclusters
- Nils Zimmermann8
- J. George9
- Evan Spotte-Smith8
- Alex Ganose10
- fraricci
- Ryan Kingsbury11
- Michael
- Sai Jayaraman
- Zhi Deng
- dongsenfo
- welltemperedpaprika
- 1. Materials Virtual Lab
- 2. UCLouvain
- 3. LBNL, UC Berkeley
- 4. Lawrence Berkeley Lab
- 5. Lawrence Berkeley National Lab
- 6. LBNL
- 7. Delaware Energy Institute
- 8. Lawrence Berkeley National Laboratory
- 9. Université catholique de Louvain
- 10. @hackingmaterials
- 11. The Materials Project, Lawrence Berkeley Natonal Laboratory
Description
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.
Files
materialsproject/pymatgen-v2020.4.2.zip
Files
(200.6 MB)
| Name | Size | Download all |
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md5:4c57d6d07a82e957954fe6e84d91e051
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Additional details
Related works
- Is supplement to
- https://github.com/materialsproject/pymatgen/tree/v2020.4.2 (URL)