Thermodynamic model selector
Automated thermodynamic property method selection based on component characteristics and operating conditionsFrom its SKILL.md
npx -y skills add a5c-ai/babysitter --skill thermodynamic-model-selectorAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
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Thermodynamic Model Selector Skill
Purpose
The Thermodynamic Model Selector Skill guides selection of appropriate thermodynamic property methods based on component characteristics, operating conditions, and accuracy requirements.
Capabilities
- Component analysis (polarity, association, electrolytes)
- Operating condition assessment
- Property method recommendation
- Binary interaction parameter fitting
- VLE/LLE data regression
- Model validation against experimental data
- Uncertainty quantification
Usage Guidelines
When to Use
- Selecting property methods for simulation
- Fitting interaction parameters
- Validating thermodynamic models
- Assessing model uncertainty
Prerequisites
- Component list defined
- Operating ranges specified
- Experimental data available
- Accuracy requirements known
Best Practices
- Consider all phase equilibria
- Validate with experimental data
- Document model selection rationale
- Assess sensitivity to parameters
Process Integration
This skill integrates with:
- Process Simulation Model Development
- Distillation Column Design
- Crystallization Process Design
Configuration
thermodynamic-model-selector:
model-categories:
- equation-of-state
- activity-coefficient
- specialized
data-sources:
- DECHEMA
- NIST
- DIPPR
Output Artifacts
- Model selection reports
- Parameter fitting results
- Validation comparisons
- Uncertainty assessments
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.