Agent skill

vasp-dft-executor

VASP DFT calculation skill for electronic structure, geometry optimization, and property prediction of nanomaterials

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/science/nanotechnology/skills/vasp-dft-executor

Metadata

Additional technical details for this skill

phase
6
domain
science
category
computational
priority
high
specialization
nanotechnology
tools libraries
[
    "VASP",
    "VASPKIT",
    "pymatgen",
    "ASE"
]

SKILL.md

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

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

Output Schema

json
{
  "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"
  }
}

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