The Materials Project
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Technological innovation - faster computers, more efficient solar cells, more compact energy storage - is often enabled by materials advances. Yet, it takes an average of 18 years to move new materials discoveries from lab to market. This is largely because materials designers operate with very little information and must painstakingly tweak new materials in the lab. Computational materials scienc
09/12/2018
Version 2018.9.12 of pymatgen has been released! Check out the change log at http://pymatgen.org for information on the latest changes.
pymatgen Python Materials Genomics 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 (https://www.materialsproject.org).
09/01/2018
Version 2018.9.1 of pymatgen has been released! Check out the change log at http://pymatgen.org for information on the latest changes.
pymatgen Python Materials Genomics 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 (https://www.materialsproject.org).
08/10/2018
Version 2018.8.10 of pymatgen has been released! Check out the change log at http://pymatgen.org for information on the latest changes.
pymatgen Python Materials Genomics 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 (https://www.materialsproject.org).
07/15/2018
Version 2018.7.15 of pymatgen has been released! Check out the change log at http://pymatgen.org for information on the latest changes.
pymatgen Python Materials Genomics 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 (https://www.materialsproject.org).
05/22/2018
Version 2018.5.21 of pymatgen has been released! Check out the change log at http://pymatgen.org for information on the latest changes.
pymatgen Python Materials Genomics 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 (https://www.materialsproject.org).
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