nanoimprint-process-controller
SolidNanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization
AI & Automation 1,160 stars
71 forks Updated today MIT
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Skill Content
# Nanoimprint Process Controller
## Purpose
The Nanoimprint Process Controller skill provides comprehensive nanoimprint lithography process control, enabling high-throughput nanopatterning through template design, imprint optimization, and defect management.
## Capabilities
- Template design and fabrication
- Imprint pressure and temperature optimization
- UV-NIL and thermal NIL protocols
- Demolding force analysis
- Residual layer control
- Defect inspection and yield analysis
## Usage Guidelines
### NIL Process Control
1. **Template Preparation**
- Design with demolding in mind
- Apply anti-sticking treatment
- Verify pattern fidelity
2. **Imprint Optimization**
- Optimize pressure and temperature
- Control residual layer thickness
- Minimize defects
3. **Yield Improvement**
- Track defect types
- Optimize demolding conditions
- Implement cleaning protocols
## Process Integration
- Nanolithography Process Development
- Directed Self-Assembly Process Development
## Input Schema
```json
{
"template_id": "string",
"resist_type": "thermal|uv_curable",
"target_features": {
"min_cd": "number (nm)",
"pitch": "number (nm)",
"aspect_ratio": "number"
},
"substrate": "string"
}
```
## Output Schema
```json
{
"process_parameters": {
"temperature": "number (C)",
"pressure": "number (bar)",
"time": "number (s)",
"uv_dose": "number (mJ/cm2)"
},
"residual_layer": "number (nm)",
"demolding_force": "numbe...
Details
- Author
- a5c-ai
- Repository
- a5c-ai/babysitter
- Created
- 4 months ago
- Last Updated
- today
- Language
- JavaScript
- License
- MIT
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