Can I use this skill to access the Materials Project database?

Yes, it includes full support for the Materials Project API (MPRester), allowing you to programmatically search for materials and retrieve their properties.

What file formats does the Pymatgen skill support?

It supports over 100 crystallography and molecule formats, including CIF, POSCAR, XYZ, and input/output files for VASP, Gaussian, and Quantum ESPRESSO.

How does this skill help with electronic structure analysis?

It provides specialized classes to parse and plot Band Structures and Density of States (DOS) from various computational physics engines.

Does it support surface and interface modeling?

Yes, it provides tools for slab generation, Wulff shape construction, and identifying adsorption sites for surface science research.

Pymatgen Materials Science

Name: Pymatgen Materials Science
Author: K-Dense-AI

byK-Dense-AI

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3,718

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数据科学与机器学习

Analyzes crystal structures, generates phase diagrams, and integrates with the Materials Project for advanced computational materials science.

Pymatgen (Python Materials Genomics) is a powerful library for materials analysis that serves as the backbone of the Materials Project. This skill enables Claude to perform sophisticated materials science tasks, including creating and manipulating crystal structures, performing symmetry analysis, and calculating thermodynamic properties. Whether you are converting between 100+ file formats like CIF and POSCAR, analyzing electronic structures (Band Structure/DOS), or generating surface slabs for catalysis research, this skill provides the domain-specific logic needed for high-throughput computational workflows and materials discovery.

主要功能

01Supports 100+ file format conversions including CIF, POSCAR, and XYZ

02Thermodynamic phase diagram generation and stability analysis

033,718 GitHub stars

04Advanced symmetry analysis and space group identification

05Electronic structure tools for Band Structure and Density of States (DOS)

06Direct integration with Materials Project API for data retrieval

使用场景

01Converting experimental structure files into simulation-ready inputs for VASP or Gaussian

02Generating and analyzing surface slabs and adsorption sites for interface studies

03Predicting material stability and decomposition pathways using phase diagrams

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add k-dense-ai/claude-scientific-skills pymatgen

For use in Claude.ai and ChatGPT

Download Skill