matterviz

**matterviz** is a toolkit for building interactive web UIs for materials science, providing 3D crystal structures, molecules, MD/relaxation trajectories, periodic tables, phase diagrams, convex hulls, spectral data (bands, DOS, XRD), he…

8. POST-PROCESSING 8.7 Visualization VERIFIED
Back to Mind Map Official Website

Overview

**matterviz** is a toolkit for building interactive web UIs for materials science, providing 3D crystal structures, molecules, MD/relaxation trajectories, periodic tables, phase diagrams, convex hulls, spectral data (bands, DOS, XRD), heatmaps, and scatter plots. It is built on modern web technologies for browser-based visualization.

Reference Papers

Reference papers are not yet linked for this code.

Full Documentation

Official Resources

  • Source Repository: https://github.com/janosh/matterviz
  • Documentation: https://matterviz.org/
  • PyPI: https://pypi.org/project/matterviz/
  • License: Open source

Overview

matterviz is a toolkit for building interactive web UIs for materials science, providing 3D crystal structures, molecules, MD/relaxation trajectories, periodic tables, phase diagrams, convex hulls, spectral data (bands, DOS, XRD), heatmaps, and scatter plots. It is built on modern web technologies for browser-based visualization.

Scientific domain: Materials science visualization, web-based interactive plots
Target user community: Researchers needing interactive, publication-quality visualizations of crystal structures, spectra, and phase diagrams in the browser

Theoretical Methods

  • WebGL/Three.js for 3D rendering
  • Svelte for reactive UI
  • D3.js for data visualization
  • Python backend for data processing

Capabilities (CRITICAL)

  • 3D crystal structure visualization
  • Molecular structure visualization
  • MD/relaxation trajectory animation
  • Periodic table visualization
  • Phase diagram plotting
  • Convex hull visualization
  • Band structure and DOS plotting
  • XRD pattern visualization
  • Heatmaps and scatter plots
  • Interactive web-based UI

Sources: GitHub repository, matterviz.org

Key Strengths

Web-Based:

  • No installation needed (browser)
  • Interactive 3D visualization
  • Shareable visualizations
  • Modern web technologies

Comprehensive Materials Visualization:

  • Crystal structures and molecules
  • Spectral data (bands, DOS, XRD)
  • Phase diagrams and convex hulls
  • Trajectories and animations

Publication Quality:

  • High-quality output
  • Customizable themes
  • Export to images
  • Responsive design

Inputs & Outputs

  • Input formats:

    • CIF, POSCAR, JSON structures
    • Pymatgen structure objects
    • Band/DOS data files
  • Output data types:

    • Interactive web visualizations
    • PNG/SVG images
    • HTML reports

Interfaces & Ecosystem

  • Pymatgen: Structure handling
  • Svelte: UI framework
  • Three.js: 3D rendering
  • Python: Data processing

Performance Characteristics

  • Speed: Fast (web-based)
  • Quality: Publication-grade
  • System size: Any (web rendering)
  • Memory: Browser-limited

Computational Cost

  • Visualization: Instant (rendering only)
  • Typical: Negligible

Limitations & Known Constraints

  • Web-based: Requires browser
  • No offline mode: Needs web server or build step
  • Newer code: Less established than VESTA
  • Limited DFT-specific features: General visualization

Comparison with Other Codes

  • vs VESTA: matterviz is web-based, VESTA is desktop
  • vs ASE-GUI: matterviz is web, ASE-GUI is Python desktop
  • vs OVITO: matterviz is web, OVITO is desktop with more MD features
  • Unique strength: Interactive web-based materials science visualization, comprehensive (structures, spectra, phase diagrams)

Application Areas

Crystal Structure Visualization:

  • Structure exploration
  • Symmetry visualization
  • Bond analysis
  • Defect structures

Spectral Visualization:

  • Band structure plots
  • DOS plots
  • XRD patterns
  • Spectral comparisons

Phase Diagrams:

  • Convex hull plots
  • Composition-temperature diagrams
  • Stability analysis
  • Thermodynamic data

Best Practices

Structure Visualization:

  • Use appropriate unit cell display
  • Customize atomic radii and colors
  • Add labels and annotations
  • Export for publications

Web Deployment:

  • Use built-in server for local use
  • Build static site for sharing
  • Optimize for large structures
  • Test browser compatibility

Community and Support

  • Open source on GitHub
  • PyPI installation available
  • Active development
  • Documentation at matterviz.org

Verification & Sources

Primary sources:

  1. GitHub: https://github.com/janosh/matterviz
  2. Documentation: https://matterviz.org/

Confidence: VERIFIED

Verification status: ✅ VERIFIED

  • Source code: ACCESSIBLE (GitHub)
  • Documentation: ACCESSIBLE
  • PyPI: AVAILABLE
  • Active development: Ongoing
  • Specialized strength: Interactive web-based materials science visualization, comprehensive (structures, spectra, phase diagrams)

Related Tools in 8.7 Visualization