Published March 28, 2019
| Version v2019.3.27
Software
Open
materialsproject/pymatgen: v2019.3.27
Authors/Creators
- Shyue Ping Ong1
- gmatteo
- Michiel van Setten2
- Will Richards
- Joseph Montoya
- Anubhav Jain3
- Xiaohui Qu
- Richard Tran
- Kiran Mathew3
- Geoffroy Hautier
- Shyam Dwaraknath4
- Stephen Dacek
- Matthew Horton5
- David Waroquiers
- Samuel M. Blau6
- Bharat Medasani7
- Danny Broberg
- cedergroupclusters
- Nils Zimmermann8
- Evan Spotte-Smith
- fraricci
- Michael
- Sai Jayaraman
- Zhi Deng
- Guido Petretto
- Germain Salvato Vallverdu9
- Alex Ganose10
- J. George11
- yanikou19
- Tess
- 1. Materials Virtual Lab
- 2. UCLouvain
- 3. Lawrence Berkeley Lab
- 4. LBNL
- 5. UC Berkeley, LBNL
- 6. Lawrence Berkeley National Lab
- 7. Delaware Energy Institute
- 8. Lawrence Berkeley National Laboratory
- 9. Université de Pau et des Pays de l'Adour, IPREM
- 10. @hackingmaterials
- 11. Université catholique de Louvain
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-v2019.3.27.zip
Additional details
Related works
- Is supplement to
- https://github.com/materialsproject/pymatgen/tree/v2019.3.27 (URL)