uv-vis-nir-analyzer

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UV-Vis-NIR spectroscopy skill for optical property characterization including plasmon resonance and bandgap analysis

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# UV-Vis-NIR Analyzer ## Purpose The UV-Vis-NIR Analyzer skill provides optical characterization of nanomaterials, enabling analysis of electronic transitions, plasmon resonances, and optical bandgaps essential for photonic and optoelectronic applications. ## Capabilities - Absorption/transmission/reflectance spectra - Localized surface plasmon resonance (LSPR) analysis - Bandgap determination (Tauc plot) - Quantum dot emission characterization - Beer-Lambert quantification - Aggregation monitoring ## Usage Guidelines ### Optical Analysis 1. **LSPR Analysis** - Monitor peak position and width - Track sensitivity to environment - Assess size and shape effects 2. **Bandgap Determination** - Apply Tauc plot method - Select direct/indirect transition - Report with uncertainty 3. **Concentration Quantification** - Apply Beer-Lambert law - Verify linear range - Account for scattering ## Process Integration - Multi-Modal Nanomaterial Characterization Pipeline - Structure-Property Correlation Analysis - Nanosensor Development and Validation Pipeline ## Input Schema ```json { "spectrum_file": "string", "measurement_type": "absorbance|transmittance|reflectance", "analysis_type": "lspr|bandgap|concentration", "material_type": "metal_np|semiconductor|quantum_dot" } ``` ## Output Schema ```json { "lspr": { "peak_position": "number (nm)", "fwhm": "number (nm)", "extinction_coefficient": "number" }, "bandgap": { "value"...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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