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pymatgen

Materials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.

5,913stars710forksUpdated 1/15/2026
Data Science & ML#data-science#research#computational-materials#scientific#machine-learning#bioinformatics#science#material-properties#data-analysis#materials-science#structure-manipulation#python

Security Assessment

Low Risk(70/100)

Detected risks:

Secret Exposure([SKILL.md] API_KEY=)
Security Score70/100

About pymatgen

Pymatgen is a robust Python library specifically designed for materials analysis within the realm of computational materials science. It addresses the challenges faced by researchers and engineers in manipulating and analyzing crystal structures and molecular systems. By providing an extensive set of tools for creating, modifying, and analyzing complex materials data, Pymatgen enables users to streamline their workflows and gain deeper insights into material properties and behaviors.

FAQ

How do I install pymatgen?

You can install pymatgen using pip with the command 'pip install pymatgen'. For access to Materials Project API, use 'pip install pymatgen mp-api'.

What file formats does pymatgen support?

Pymatgen supports over 100 file formats, including CIF, POSCAR, and XYZ, allowing for seamless conversion between various structure file types.

Can pymatgen be used with other computational codes?

Yes, pymatgen is compatible with various computational codes such as VASP, Gaussian, and Quantum ESPRESSO.

Is there an API key requirement for using Materials Project features?

Yes, you need to set up an API key to access the Materials Project database programmatically.

What types of analyses can I perform with pymatgen?

Pymatgen allows you to analyze symmetry, compute phase diagrams, assess thermodynamic stability, and study electronic structures like band structures and density of states.

Install pymatgen

Download and extract the skill files to your .claude/skills/ directory.

Quick Setup:

  1. Copy the skill folder to .claude/skills/
  2. Claude will automatically detect and use the skill

Repository

K-Dense-AI/claude-scientific-skills

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