mat-defect-energy
OfficialCompute point-defect formation energies.
Education & Research#pymatgen#materials science#mlip#defect formation energy#atomistic simulations#supercell generation#chemical potentials
Authorlearningmatter-mit
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Point defects (vacancies, substitutions, and interstitials) strongly control materials properties, and computing their formation energies is a multi-step workflow that’s tedious to run manually.
Core Features & Use Cases
- End-to-end defect energy workflow: Relaxes a bulk reference, generates defect supercells, relaxes defects with fixed cell volume, and computes formation energies using an MLIP.
- Supports common neutral defect types: Vacancies, substitutions, and interstitials (neutral only), using symmetry-unique defect generation.
- Chemical potential handling: Applies chemical potential corrections via elemental reference energies (metal-rich limit by default).
Quick Start
Use the mat-defect-energy skill to calculate neutral vacancy formation energies in MgO by relaxing the bulk, generating vacancy supercells, relaxing them with the cell fixed, and computing formation energies with the appropriate MLIP model and elemental references.
Dependency Matrix
Required Modules
pymatgenpymatgen-analysis-defectsasenumpyjsonpathlib
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: mat-defect-energy Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#mat-defect-energy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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