home / skills / a5c-ai / babysitter / thermal-analysis
This skill enables comprehensive thermal analysis workflows for materials science, delivering DSC, TGA, DTA, TMA, and DMA insights to drive material decisions.
npx playbooks add skill a5c-ai/babysitter --skill thermal-analysisReview the files below or copy the command above to add this skill to your agents.
---
name: thermal-analysis
description: Skill for thermal characterization workflows including DSC, TGA, DTA, TMA, and DMA for phase transitions, decomposition, and viscoelastic property analysis
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: materials-science
domain: science
category: materials-characterization
priority: high
phase: 6
tools-libraries:
- TA Universal Analysis
- Netzsch Proteus
- STARe Software
- TRIOS
---
# Thermal Analysis Skill
## Purpose
The Thermal Analysis skill provides comprehensive thermal characterization workflows for materials science applications, enabling systematic analysis of phase transitions, thermal stability, decomposition kinetics, and viscoelastic properties through DSC, TGA, DTA, TMA, and DMA techniques.
## Capabilities
- DSC baseline correction and peak integration
- Glass transition temperature (Tg) determination
- Crystallization and melting enthalpy calculation
- TGA decomposition kinetics analysis (Kissinger, FWO methods)
- DTA phase transformation identification
- TMA expansion coefficient calculation
- DMA viscoelastic property extraction (E', E'', tan delta)
- Multi-heating rate kinetic analysis
## Usage Guidelines
### Differential Scanning Calorimetry (DSC)
1. **Baseline Correction**
- Select appropriate baseline type (linear, sigmoidal, spline)
- Define integration limits for peak area calculation
- Apply correction for instrument drift
2. **Glass Transition Analysis**
- Use midpoint, onset, or inflection method consistently
- Report heating rate used for measurement
- Note fictive temperature for aging studies
3. **Enthalpy Calculation**
- Integrate peak area with proper baseline
- Apply calibration constant from standards
- Report uncertainty based on baseline selection
### Thermogravimetric Analysis (TGA)
1. **Decomposition Analysis**
- Identify mass loss steps and temperatures
- Calculate derivative curves (DTG) for step resolution
- Correlate with evolved gas analysis if available
2. **Kinetic Analysis**
- Apply isoconversional methods (Kissinger, FWO, KAS)
- Use multiple heating rates (5, 10, 20 K/min minimum)
- Report activation energy with confidence intervals
### Dynamic Mechanical Analysis (DMA)
1. **Viscoelastic Properties**
- Extract storage modulus (E'), loss modulus (E'')
- Calculate loss tangent (tan delta)
- Identify glass transition from tan delta peak or E' onset
2. **Frequency Dependence**
- Perform temperature-frequency sweeps
- Apply time-temperature superposition
- Generate master curves for long-term prediction
## Process Integration
- MS-004: Thermal Analysis Protocol (all phases)
- MS-003: Spectroscopic Analysis Suite (thermal-spectroscopy correlation)
## Input Schema
```json
{
"sample_id": "string",
"technique": "DSC|TGA|DTA|TMA|DMA",
"temperature_range": {
"start": "number (C)",
"end": "number (C)"
},
"heating_rate": "number (K/min) or array",
"atmosphere": "nitrogen|air|argon|oxygen",
"analysis_type": "transition|kinetics|modulus|expansion"
}
```
## Output Schema
```json
{
"sample_id": "string",
"technique": "string",
"results": {
"transitions": [
{
"type": "Tg|Tm|Tc|Td",
"temperature": "number (C)",
"enthalpy": "number (J/g)",
"method": "string"
}
],
"kinetics": {
"activation_energy": "number (kJ/mol)",
"pre_exponential": "number",
"method": "string"
},
"mechanical": {
"storage_modulus": "number (Pa)",
"loss_modulus": "number (Pa)",
"tan_delta_peak": "number (C)"
}
}
}
```
## Best Practices
1. Calibrate with certified standards (indium, sapphire) before measurements
2. Use consistent sample mass and pan type within a study
3. Report all experimental parameters for reproducibility
4. Apply appropriate baseline corrections before integration
5. Use multiple heating rates for kinetic reliability
6. Consider thermal lag at high heating rates
## Integration Points
- Connects with Spectroscopy Analysis for coupled TGA-FTIR/MS
- Feeds into Polymer Characterization for comprehensive analysis
- Supports Mechanical Testing for property correlation
- Integrates with Materials Database for data archival
This skill provides end-to-end thermal characterization workflows for DSC, TGA, DTA, TMA, and DMA to identify phase transitions, decomposition behavior, and viscoelastic properties. It standardizes baseline correction, kinetic extraction, and modulus analysis so results are reproducible and ready for integration into materials workflows. The focus is on practical outputs like Tg, Tm, Td, activation energies, and mechanical spectra.
You supply sample metadata, technique, temperature range, heating rate(s), atmosphere, and analysis type. The skill performs instrument-style processing: baseline correction, peak integration, derivative (DTG) calculations, isoconversional kinetic fits (Kissinger, FWO), and viscoelastic extraction (E', E'', tan delta). Outputs follow a structured schema with transitions, kinetics, and mechanical results for downstream use.
What inputs are required to run an analysis?
Provide sample_id, chosen technique, temperature_range (start/end in °C), heating_rate (single value or array), atmosphere, and analysis_type.
Which kinetic methods are supported?
Supports isoconversional and peak-based methods including Kissinger, Flynn–Wall–Ozawa (FWO), and KAS for activation energy estimation.