Python Materials Genomics (pymatgen) is a robust, open-source Python library for materials analysis, providing data structures and analysis tools for materials science.
ピマトゲン
- Python
- 化学, データ分析, 材料, ナノテクノロジー, シミュレーション
- 合金, 化学, 計算流体力学（CFD）, 結晶構造, 積層造形のための設計（DfAM）, 環境への影響, 材料
特徴：
- Representations of materials (Structure,Molecule,Lattice,Site),input/output for common DFT codes (VASP,ABINIT,Quantum Espresso),phase diagram generation,electronic structure analysis (band structures,density of states),materials properties calculation (elasticity,thermoelectricity),interfaces to materials databases (Materials Project),crystal structure manipulation and symmetry analysis
価格設定：
- 無料
- Core library for materials informatics and computational materials science, extensive functionality for materials analysis, strong integration with Materials Project, well-documented, large and active community.
- Can have a steep learning curve due to its breadth and depth, some modules require understanding of specific materials science concepts or DFT calculations, can be a large dependency.
最適な用途:
- Materials scientists, chemists, and physicists performing computational materials science research, analyzing DFT outputs, and developing materials informatics workflows.
- 合金, 化学, 計算流体力学（CFD）, 結晶構造, 積層造形のための設計（DfAM）, 環境への影響, 材料