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Defect analysis

Skill chatmaterials/defect-analysis

Theme-level skill for defect DFT analysis, including formation energies and structural distortion.

Install
npx -y skills add chatmaterials/defect-analysis

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Use when the task is to analyze defect-related DFT results, including neutral defect formation energies, automatic defect-type inference, multi-species chemical-potential terms, stoichiometric changes, abundance estimates, candidate ranking, and compact markdown reports from pristine and defect calculations. Supports VASP, QE, and ABINIT-style inputs.

SKILL.md

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Defect Analysis

Use this skill for defect-focused post-processing rather than generic workflow setup.

When to use

  • estimate a neutral defect formation energy from pristine and defect calculations
  • infer whether the defect looks vacancy-, interstitial-, substitutional-, or complex-like
  • apply multi-species chemical-potential terms for substitutional or complex defects
  • summarize how stoichiometry changes between pristine and defect cells
  • quantify structural or volume change caused by a defect
  • estimate compact abundance metrics under a temperature and site-density assumption
  • analyze how abundance changes across a temperature window
  • rank multiple defect candidates in balanced, abundant, substitutional, or strain-sensitive modes
  • write a compact defect-analysis report from finished calculations

Supported backends:

  • VASP-like directories with OUTCAR and POSCAR
  • QE-like directories with .out and structural input blocks
  • ABINIT-like directories with .abo and .abi

Use the bundled helpers

  • scripts/analyze_defect_formation.py Estimate a neutral defect formation energy, infer the defect type, and optionally estimate abundance metrics.
  • scripts/analyze_defect_structure.py Compare pristine and defect structures and summarize size, stoichiometry, and inferred defect type.
  • scripts/analyze_defect_sensitivity.py Sweep a temperature window and summarize abundance sensitivity.
  • scripts/compare_defect_candidates.py Rank multiple defect candidates with balanced, abundant, substitutional, or strain-sensitive heuristics.
  • scripts/export_defect_report.py Export a markdown defect-analysis report.

Guardrails

  • Do not treat a neutral formation-energy estimate as a full charged-defect treatment.
  • State the chemical potential convention explicitly.
  • Distinguish raw energetic extraction from final physical interpretation.

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