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name: nanoimprint-process-controller description: Nanoimprint Lithography skill for high-throughput nanopatterning with template management and demolding optimization allowed-tools:

• Read
• Write
• Glob
• Grep
• Bash metadata: specialization: nanotechnology domain: science category: fabrication priority: medium phase: 6 tools-libraries:
  • NIL process simulation
  • Template design tools graph: domains: [domain:nanotechnology] skillAreas: [skill-area:mathematical-reasoning, skill-area:physics-simulation, skill-area:data-analysis] workflows: [workflow:experiment-design] roles: [role:research-engineer]

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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

{
  "template_id": "string",
  "resist_type": "thermal|uv_curable",
  "target_features": {
    "min_cd": "number (nm)",
    "pitch": "number (nm)",
    "aspect_ratio": "number"
  },
  "substrate": "string"
}

Output Schema

{
  "process_parameters": {
    "temperature": "number (C)",
    "pressure": "number (bar)",
    "time": "number (s)",
    "uv_dose": "number (mJ/cm2)"
  },
  "residual_layer": "number (nm)",
  "demolding_force": "number (N)",
  "defect_density": "number (defects/cm2)",
  "yield": "number (%)"
}