Pymatgen - Python Materials Genomics
SkillDatabases & dataOnce added, your AI can analyze and manipulate materials using the pymatgen toolkit. It works with crystal structures and molecules, builds phase diagrams, checks thermodynamic stability, studies electronic structure, and can pull data from the Materials Project database. This is useful whenever your work involves crystal structures or materials research.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding it, describe a materials task, such as asking your AI to analyze a crystal structure or find data on a material in the Materials Project database.
Then ask your AI: use the Pymatgen - Python Materials Genomics skill
What your AI can do with it
- Analyze and manipulate crystal structures and molecules
- Build phase diagrams and evaluate thermodynamic stability
- Study electronic structure, including band structures and density of states
- Model surfaces and interfaces
- Look up materials data in the Materials Project database
What this skill tells your AI
The instructions your AI receives, as published by alterlab-ieu/alterlab-academic-skills in skills/domain-specific/alterlab-pymatgen/SKILL.md and read by ahel’s review.
Overview
Pymatgen is a comprehensive Python library for materials analysis that powers the Materials Project. Create, analyze, and manipulate crystal structures and molecules; compute phase diagrams and thermodynamic properties; analyze electronic structure (band structures, DOS); generate surfaces and interfaces; and access the Materials Project database. Supports 100+ file formats from various computational codes.
When to Use This Skill
Use when:
- Working with crystal structures or molecular systems in materials science
- Converting between structure file formats (CIF, POSCAR, XYZ, etc.)
- Analyzing symmetry, space groups, or coordination environments
- Computing phase diagrams or assessing thermodynamic stability
- Analyzing electronic structure (band gaps, DOS, band structures)
- Generating surfaces/slabs or studying interfaces
- Accessing the Materials Project database programmatically
- Setting up high-throughput computational workflows
- Working with VASP, Gaussian, Quantum ESPRESSO, or other codes
Quick Start
uv pip install pymatgen # core
uv pip install pymatgen mp-api # + Materials Project API access
uv pip install pymatgen[analysis] # extended analysis tools
uv pip install pymatgen[vis] # visualization tools
from pymatgen.core import Structure, Lattice
struct = Structure.from_file("POSCAR") # auto format detection
struct.to(filename="structure.cif") # write any format
print(struct.composition.reduced_formula)
print(struct.get_space_group_info())
print(f"{struct.density:.2f} g/cm³")
export MP_API_KEY="your_api_key_here" # for Materials Project access
Core Capabilities (routing)
Each capability has a copy-paste code block in references/core_examples.md and deeper
module docs in the references listed below.
- Structure creation & manipulation — from files, from scratch (lattice params or
space group), transformations (supercell, substitution, primitive). →
core_classes.md - File-format conversion —
from_file()/to()plusscripts/structure_converter.pyfor single/batch. →io_formats.md - Structure analysis & symmetry —
SpacegroupAnalyzer,CrystalNN, plusscripts/structure_analyzer.py. →analysis_modules.md - Phase diagrams & thermodynamics —
PhaseDiagram, energy-above-hull, decomposition, plusscripts/phase_diagram_generator.py. →analysis_modules.md,transformations_workflows.md - Electronic structure — band structures and DOS from
Vasprun, band gaps, metallicity. →analysis_modules.md,io_formats.md - Surfaces & interfaces —
SlabGenerator,WulffShape,AdsorbateSiteFinder. →analysis_modules.md,transformations_workflows.md - Materials Project access —
MPRestersearch and retrieval with property filters. →materials_project_api.md - Computational workflow setup — VASP input sets (
MPRelaxSet,MPStaticSet,MPNonSCFSet), Gaussian, Quantum ESPRESSO. →io_formats.md,transformations_workflows.md - Advanced analysis — XRD patterns, elastic tensors, magnetic ordering.
→
analysis_modules.md
Multi-step worked examples (high-throughput generation, band-structure pipeline, surface
energy): references/common_workflows_code.md.
Bundled Resources
Scripts (scripts/)
structure_converter.py: convert between structure file formats (batch + auto detection). Usage:python scripts/structure_converter.py POSCAR structure.cifstructure_analyzer.py: symmetry, coordination, lattice parameters, distance matrix. Usage:python scripts/structure_analyzer.py structure.cif --symmetry --neighborsphase_diagram_generator.py: phase diagrams from Materials Project, stability analysis. Usage:python scripts/phase_diagram_generator.py Li-Fe-O --analyze "LiFeO2"
All scripts include detailed help, e.g. python scripts/structure_converter.py --help
References (references/)
core_examples.md: copy-paste code for all nine core capabilitiescommon_workflows_code.md: multi-step worked workflow codecore_classes.md: Element, Structure, Lattice, Molecule, Composition classesio_formats.md: file-format support and code integration (VASP, Gaussian, etc.)analysis_modules.md: phase diagrams, surfaces, electronic structure, symmetrymaterials_project_api.md: complete Materials Project API guidetransformations_workflows.md: transformations framework and 10 common workflows
Best Practices
Structures: use auto format detection; prefer IStructure when immutable; reduce to
primitive cell with SpacegroupAnalyzer; validate for overlapping atoms / bad bond
lengths. File I/O: prefer from_file()/to(); specify format when detection fails;
use as_dict()/from_dict() for version-safe storage. MP API: always use the context
manager; batch queries; cache results; filter by property. Workflows: prefer input
sets over manual INCAR; verify convergence; track transformations for provenance.
Performance: use primitive cells; bound neighbor-search cutoffs; parallelize where
possible.
Units and Conventions
Lengths in Å, energies in eV, angles in degrees, magnetic moments in μB, time in fs.
Convert with pymatgen.core.units.
Integration
Integrates with ASE, Phonopy, BoltzTraP, Atomate/Fireworks, AiiDA, Zeo++, and OpenBabel.
Troubleshooting
- Import errors:
uv pip install pymatgen[analysis,vis] - API key not found:
export MP_API_KEY="your_key_here" - Structure read failures: try explicit format, e.g.
Structure.from_file("file.txt", fmt="cif") - Symmetry analysis fails: increase tolerance, e.g.
SpacegroupAnalyzer(struct, symprec=0.1)
Additional Resources
Docs: https://pymatgen.org/ · Materials Project: https://materialsproject.org/ · GitHub: https://github.com/materialsproject/pymatgen · Forum: https://matsci.org/ · Example notebooks: https://matgenb.materialsvirtuallab.org/
Version Notes
Designed for pymatgen 2024.x and later. For the Materials Project API, use the mp-api
package (separate from legacy pymatgen.ext.matproj). Requirements: Python ≥ 3.10,
pymatgen ≥ 2023.x, mp-api (for Materials Project access).
Signals
- GitHub stars
- 66
- Forks
- 13
- Last commit
- Sep 2026
Advanced
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alterlab-pymatgen- Source
- github.com/alterlab-ieu/alterlab-academic-skills