nanocatalyst-performance-analyzer

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Nanocatalysis skill for evaluating catalytic activity, selectivity, and stability of nanomaterial catalysts

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Nanocatalyst Performance Analyzer ## Purpose The Nanocatalyst Performance Analyzer skill provides comprehensive evaluation of nanomaterial catalyst performance, enabling systematic assessment of activity, selectivity, and stability for catalytic applications. ## Capabilities - Turnover frequency (TOF) calculation - Selectivity analysis - Activation energy determination - Stability and recyclability testing - Surface area normalization (BET) - Reaction mechanism investigation ## Usage Guidelines ### Catalyst Evaluation 1. **Activity Assessment** - Measure conversion vs time - Calculate TOF - Normalize to surface area 2. **Selectivity Analysis** - Identify products - Calculate selectivities - Map reaction pathways 3. **Stability Testing** - Run recyclability tests - Monitor deactivation - Characterize spent catalyst ## Process Integration - Nanocatalyst Development and Performance Optimization ## Input Schema ```json { "catalyst_id": "string", "reaction": "string", "reactants": [{"name": "string", "concentration": "number"}], "temperature": "number (C)", "pressure": "number (atm)", "catalyst_mass": "number (mg)" } ``` ## Output Schema ```json { "activity": { "conversion": "number (%)", "tof": "number (1/s)", "specific_activity": "number (mol/g/s)" }, "selectivity": [{ "product": "string", "selectivity": "number (%)" }], "kinetics": { "activation_energy": "number (kJ/mol)", "rate_law": ...

Details

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

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