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Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

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Topics: pymatgen, pymatgen cif, pymatgen composition, pymatgen ewald ordering, pymatgen structure

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. The Materials Project is an open-access database offering material properties to accelerate the development of technology by predicting how new materials–both real and hypothetical–can be used. The project was established in 2011 with an emphasis on battery research, but includes property calculations for many areas of clean energy systems such as photovoltaics, thermoelectric materials, and catalysts. Most of the known 35,000 molecules and over 130,000 inorganic compounds are included in the database.Dr. Kristin Persson of Lawrence Berkeley National Laboratory founded and leads the initiative, which uses supercomputers at Berkeley, among other institutions, to run calculations using Density Functional Theory (DFT). Commonly computed values include enthalpy of formation, crystal structure, and band gap.

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