MagmaLab

An interactive Progressive Web App (PWA) for understanding how igneous rocks form from magma. Input magma composition and cooling history to predict rock type, mineral assemblage, and texture.

Features

• Composition Editor: Set major oxide composition (SiO2, Al2O3, FeO, MgO, etc.) with presets for common magma types (MORB, arc andesite, rhyolite)
• P-T-t Path Builder: Define cooling and pressure history using presets or custom curves
• Rock Classification: TAS diagram-based classification with volcanic/intrusive naming
• Mineral Prediction: Heuristic-based mineral assemblage inference
• Texture Prediction: Estimate texture (glassy, aphanitic, phaneritic, porphyritic, vesicular) based on cooling rate
• Crystallization Timeline: Narrative description of the crystallization sequence
• Share Scenarios: Generate compressed URLs to share configurations
• Offline Support: PWA with service worker caching

Getting Started

# Install dependencies
npm install

# Start development server
npm run dev

# Run tests
npm run test

# Build for production
npm run build

# Preview production build
npm run preview

Tech Stack

• Framework: SvelteKit 2 with TypeScript
• Styling: Tailwind CSS 4
• Charting: D3.js for P-T-t path visualization
• Storage: LocalForage (IndexedDB)
• URL Compression: lz-string
• Testing: Vitest

Project Structure

src/
  lib/
    engine/          # Core prediction engine
      tas.ts         # TAS classification
      minerals.ts    # Mineral inference
      texture.ts     # Texture inference
      timeline.ts    # Crystallization timeline
    components/      # Svelte components
    stores/          # Svelte stores
    data/            # Presets and static data
  routes/
    /                # Landing page
    /build           # Composition editor
    /path            # P-T-t path editor
    /results         # Prediction results

Scientific Notes

This is an educational tool using simplified heuristic rules inspired by igneous petrology principles. It is not a thermodynamic solver.

• Rock naming uses the IUGS TAS (Total Alkali-Silica) diagram
• Mineral assemblages are based on simplified composition-dependent rules
• Textures are estimated from cooling rate and environment
• Results should be interpreted as "likely outcomes" with uncertainty

For research-grade predictions, consider tools like MELTS or rhyolite-MELTS.

License

MIT