Published July 22, 2019
| Version v2019.7.21
Software
Open
materialsproject/pymatgen: v2019.7.21
Creators
- Shyue Ping Ong1
- gmatteo
- Michiel van Setten2
- Will Richards
- Joseph Montoya
- Anubhav Jain3
- Xiaohui Qu
- Richard Tran
- Matthew Horton4
- Danny Broberg
- Kiran Mathew3
- Geoffroy Hautier
- Shyam Dwaraknath5
- Stephen Dacek
- David Waroquiers
- Samuel M. Blau6
- Bharat Medasani7
- cedergroupclusters
- Nils Zimmermann8
- Evan Spotte-Smith
- J. George9
- fraricci
- Michael
- Alex Ganose10
- Sai Jayaraman
- Zhi Deng
- Guido Petretto
- Germain Salvato Vallverdu11
- yanikou19
- Tess
- 1. Materials Virtual Lab
- 2. UCLouvain
- 3. Lawrence Berkeley Lab
- 4. UC Berkeley, LBNL
- 5. LBNL
- 6. Lawrence Berkeley National Lab
- 7. Delaware Energy Institute
- 8. Lawrence Berkeley National Laboratory
- 9. Université catholique de Louvain
- 10. @hackingmaterials
- 11. Université de Pau et des Pays de l'Adour, IPREM
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-v2019.7.21.zip
Files
(192.2 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:59b2140607740163bc496f8e5643d347
|
192.2 MB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/materialsproject/pymatgen/tree/v2019.7.21 (URL)