Thermodynamic Model Selector Skill
SkillAI & modelsAutomated thermodynamic property method selection based on component characteristics and operating conditions
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/chemical-engineering/skills/thermodynamic-model-selector/SKILL.md and read by Ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
thermodynamic-model-selector- Source
- github.com/a5c-ai/babysitter
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