AtomicContributions

AtomicContributions is a Python tool for visualizing atomic contributions to phonon modes. It analyzes phonon eigenvectors to determine which atoms contribute most to each vibrational mode, useful for understanding mode character.

5. PHONONS 5.5 Utilities Interfaces VERIFIED
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Overview

AtomicContributions is a Python tool for visualizing atomic contributions to phonon modes. It analyzes phonon eigenvectors to determine which atoms contribute most to each vibrational mode, useful for understanding mode character.

Reference Papers

Reference papers are not yet linked for this code.

Full Documentation

Official Resources

  • Homepage: https://github.com/JaGeo/AtomicContributions
  • Source Repository: https://github.com/JaGeo/AtomicContributions
  • License: MIT License

Overview

AtomicContributions is a Python tool for visualizing atomic contributions to phonon modes. It analyzes phonon eigenvectors to determine which atoms contribute most to each vibrational mode, useful for understanding mode character.

Scientific domain: Phonon mode analysis, atomic contributions
Target user community: Researchers analyzing phonon mode character

Theoretical Methods

  • Phonon eigenvector analysis
  • Atomic contribution decomposition
  • Mode character identification
  • Participation ratio
  • Site-projected analysis

Capabilities (CRITICAL)

  • Atomic contribution to phonon modes
  • Mode character visualization
  • Phonopy integration
  • Site-projected DOS
  • Contribution plots
  • Mode identification

Key Strengths

Mode Analysis:

  • Identifies mode character
  • Atomic contributions
  • Visual representation
  • Quantitative analysis

Phonopy Integration:

  • Uses Phonopy output
  • Familiar workflow
  • Easy to use
  • Well-documented

Inputs & Outputs

  • Input formats:

    • Phonopy files
    • band.yaml
    • FORCE_SETS
  • Output data types:

    • Contribution plots
    • Mode analysis
    • Atomic weights

Interfaces & Ecosystem

  • Phonopy: Primary integration
  • Python/matplotlib: Plotting
  • pymatgen: Structure handling

Advanced Features

  • Eigenvector decomposition: Atomic contribution analysis
  • Site-projected DOS: Element-resolved phonon DOS
  • Participation ratio: Mode localization analysis
  • Phonopy integration: Direct use of Phonopy output
  • Visualization: Publication-quality contribution plots

Performance Characteristics

  • Post-processing tool: Fast
  • Python-based implementation
  • Minimal computational overhead

Computational Cost

  • Phonopy calculation: External (dominant cost)
  • AtomicContributions analysis: Fast (seconds)
  • Overall: Negligible overhead

Best Practices

  • Use converged Phonopy calculations with eigenvectors
  • Validate mode assignments with known references
  • Compare with experimental spectroscopy
  • Use appropriate frequency ranges for analysis

Limitations & Known Constraints

  • Phonopy-specific
  • Analysis tool only
  • Limited features
  • Requires eigenvectors

Application Areas

  • Mode character analysis
  • Phonon assignment
  • Spectroscopy interpretation
  • Materials characterization

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/JaGeo/AtomicContributions

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Source code: OPEN (GitHub, MIT)

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