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开发与工程 · SKILL.md

raman-spectroscopy-analyzer

raman-spectroscopy-analyzer

【开发与工程】Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials

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技能说明

GitHub

name: raman-spectroscopy-analyzer description: Raman spectroscopy skill for molecular fingerprinting, structural characterization, and chemical identification of nanomaterials allowed-tools:

  • Read
  • Write
  • Glob
  • Grep
  • Bash metadata: specialization: nanotechnology domain: science category: spectroscopy priority: high phase: 6 tools-libraries:
    • WiRE
    • LabSpec
    • Renishaw software
    • Custom spectral databases graph: domains: [domain:nanotechnology] skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer]

Raman Spectroscopy Analyzer

Purpose

The Raman Spectroscopy Analyzer skill provides molecular-level characterization of nanomaterials through vibrational spectroscopy, enabling structural identification, defect analysis, and chemical mapping.

Capabilities

  • Raman spectrum acquisition and processing
  • Peak identification and assignment
  • SERS (Surface-Enhanced Raman) analysis
  • Raman mapping and imaging
  • Resonance Raman analysis
  • Graphene/CNT characterization (D/G ratio)

Usage Guidelines

Raman Analysis

  1. Spectrum Acquisition

    • Select appropriate excitation wavelength
    • Optimize power to avoid damage
    • Apply baseline correction
  2. Peak Analysis

    • Identify characteristic peaks
    • Calculate peak ratios (D/G for carbon)
    • Assess crystallinity
  3. Mapping

    • Generate chemical maps
    • Identify phase distributions
    • Quantify heterogeneity

Process Integration

  • Multi-Modal Nanomaterial Characterization Pipeline
  • In-Situ Characterization Experiment Design
  • Structure-Property Correlation Analysis

Input Schema

{
  "spectrum_file": "string",
  "excitation_wavelength": "number (nm)",
  "material_type": "string",
  "analysis_type": "identification|mapping|sers"
}

Output Schema

{
  "identified_peaks": [{
    "position": "number (cm-1)",
    "assignment": "string",
    "intensity": "number"
  }],
  "structural_parameters": {
    "d_g_ratio": "number (for carbon)",
    "crystallinity": "string"
  },
  "chemical_map": {
    "species": "string",
    "image_path": "string"
  }
}
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