mat-defect-energy-dft
OfficialCompute charged defect energies from DFT.
Education & Research#vasp#defect formation energy#charged defects#pymatgen-analysis-defects#atomate2#transition levels#finite-size correction
Authorlearningmatter-mit
Version1.0.0
Installs0
System Documentation
What problem does it solve?
It helps you calculate point-defect formation energies for multiple charge states in solids using DFT, producing charge-transition diagrams that relate defect stability to the Fermi level.
Core Features & Use Cases
- Charged point-defect generation: Builds symmetry-unique defect supercells (vacancies, substitutions, interstitials) and associates each with a charge-state range for later DFT evaluation.
- DFT workflow execution via atomate2: Submits VASP static/relaxation calculations for bulk and defect supercells using MCP-exposed atomate2 workflows (with required VASP configuration).
- Formation energy & transition diagram post-processing: Parses energies from VASP outputs and computes formation energies versus Fermi energy, including an optional finite-size (Freysoldt/FNV-style) correction using a provided dielectric constant.
Quick Start
Generate defect supercells for MgO vacancies with charges -2 to +2, run atomate2 VASP calculations, then parse the VASP results to produce a charged defect formation energy diagram.
Dependency Matrix
Required Modules
pymatgenpymatgen-analysis-defectsnumpymatplotlibjsonargparsepathlib
Components
scripts
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Please help me install this Skill: Name: mat-defect-energy-dft Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#mat-defect-energy-dft Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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