vasp_unfold

vasp_unfold is a Python tool for unfolding VASP band structures using PROCAR files with phase information (LORBIT=12), providing spectral weight calculation for supercell systems.

8. POST-PROCESSING 8.1 Band Structure & Electronic Analysis VERIFIED 3 papers
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Overview

vasp_unfold is a Python tool for unfolding VASP band structures using PROCAR files with phase information (LORBIT=12), providing spectral weight calculation for supercell systems.

Reference Papers (3)

Full Documentation

Official Resources

  • GitHub: https://github.com/tomkeus/vasp_unfold
  • License: MIT License

Overview

vasp_unfold is a Python tool for unfolding VASP band structures using PROCAR files with phase information (LORBIT=12), providing spectral weight calculation for supercell systems.

Scientific domain: Band unfolding, VASP post-processing Target user community: VASP users with PROCAR-based workflows

Capabilities (CRITICAL)

  • PROCAR-based Unfolding: Uses projected character data
  • Phase Information: Requires LORBIT=12
  • Fractional Translations: Handles supercell translations
  • Spectral Weights: Calculate unfolding weights

Key Strengths

  • PROCAR file parsing
  • Phase-aware unfolding
  • Command-line interface

Requirements

  • VASP calculation with LORBIT=12
  • PROCAR file with phase information

Usage

vasp_unfold PROCAR

Installation

git clone https://github.com/tomkeus/vasp_unfold.git
cd vasp_unfold
pip install -e .

Limitations & Known Constraints

  • LORBIT=12 required: Needs VASP phase information in PROCAR
  • PROCAR-based: Different approach from WAVECAR-based tools
  • VASP-specific: Only works with VASP output

Comparison with Other Tools

  • vs easyunfold: vasp_unfold PROCAR-based, easyunfold WAVECAR-based
  • vs fold2Bloch: Different input requirements (PROCAR vs WAVECAR)
  • Unique strength: PROCAR-based unfolding with phase information

Verification & Sources

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Source code: OPEN (GitHub, MIT)
  • Target Code: VASP

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