---

name: vasp-dft-executor description: VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials allowed-tools:

• Read
• Write
• Glob
• Grep
• Bash metadata: specialization: nanotechnology domain: science category: computational priority: high phase: 6 tools-libraries:
  • VASP
  • VASPKIT
  • pymatgen
  • ASE

---

VASP DFT Executor

Purpose

The VASP DFT Executor skill provides density functional theory calculation capabilities using VASP for nanomaterial property prediction, enabling electronic structure analysis, geometry optimization, and materials property computation.

Capabilities

• Input file generation (INCAR, POSCAR, KPOINTS, POTCAR)
• Geometry optimization
• Electronic band structure calculation
• Density of states analysis
• Formation energy calculation
• Optical property prediction

Usage Guidelines

DFT Calculation Workflow

1. Input Preparation

   • Generate structure files
   • Select appropriate pseudopotentials
   • Set convergence parameters

2. Calculation Execution

   • Monitor convergence
   • Check for errors
   • Manage computational resources

3. Result Analysis

   • Extract electronic properties
   • Analyze band structure
   • Calculate derived properties

Process Integration

• DFT Calculation Pipeline for Nanomaterials
• Multiscale Modeling Integration
• Machine Learning Materials Discovery Pipeline

Input Schema

{
  "structure_file": "string (POSCAR/CIF)",
  "calculation_type": "relax|static|band|dos|optical",
  "functional": "PBE|HSE06|SCAN",
  "kpoint_density": "number",
  "encut": "number (eV)"
}

Output Schema

{
  "total_energy": "number (eV)",
  "bandgap": "number (eV)",
  "formation_energy": "number (eV/atom)",
  "optimized_structure": "string (CONTCAR)",
  "electronic_properties": {
    "dos_file": "string",
    "band_file": "string"
  },
  "convergence": {
    "energy_converged": "boolean",
    "force_converged": "boolean"
  }
}