Python Materials Genomics (pymatgen) is a robust, open-source Python library for materials analysis, providing data structures and analysis tools for materials science.
पायमाटजेन
- पायथन
- रसायन विज्ञान, डेटा एनालिटिक्स, सामग्री, नैनोप्रौद्योगिकी, सिमुलेशन
- मिश्र धातु, रसायन विज्ञान, अभिकलनात्मक द्रव गतिकी (CFD), क्रिस्टल की संरचना, एडिटिव मैन्युफैक्चरिंग के लिए डिज़ाइन (DfAM), पर्यावरण प्रभाव, सामग्री
विशेषताएँ:
- 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
मूल्य निर्धारण:
- मुफ़्त
- 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.
इसके लिए सबसे अच्छा:
- Materials scientists, chemists, and physicists performing computational materials science research, analyzing DFT outputs, and developing materials informatics workflows.
