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Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements
---
name: stm-analyzer-73be9bb6588a
description: Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: microscopy-characterization
priority: medium
phase: 6
tools-libraries:
- WSxM
- SPECS software
- Custom STM analysis 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]
---
# STM Analyzer
## Purpose
The STM Analyzer skill provides atomic-resolution surface analysis through scanning tunneling microscopy, enabling visualization of atomic structures and measurement of local electronic properties.
## Capabilities
- Atomic-resolution imaging
- STS (Scanning Tunneling Spectroscopy)
- Local density of states mapping
- Surface reconstruction analysis
- Molecular imaging
- Low-temperature operation protocols
## Usage Guidelines
### STM Analysis
1. **Imaging**
- Optimize tunneling parameters
- Apply drift correction
- Identify atomic features
2. **Spectroscopy**
- Acquire dI/dV spectra
- Map electronic states
- Identify band structure features
3. **Data Processing**
- Apply Fourier filtering
- Correct for thermal drift
- Calibrate atomic distances
## Process Integration
- In-Situ Characterization Experiment Design
- Structure-Property Correlation Analysis
## Input Schema
```json
{
"data_file": "string",
"analysis_type": "imaging|spectroscopy|sts_mapping",
"bias_voltage": "number (V)",
"setpoint_current": "number (nA)"
}
```
## Output Schema
```json
{
"imaging": {
"atomic_structure": "string",
"lattice_constant": "number (nm)",
"defects_identified": ["string"]
},
"spectroscopy": {
"band_gap": "number (eV)",
"fermi_level": "number (eV)",
"density_of_states": {"energy": [], "dos": []}
}
}
```
---
name: stm-analyzer-73be9bb6588a
description: Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements
allowed-tools:
- Read
- Write
- Glob
- Grep
- Bash
metadata:
specialization: nanotechnology
domain: science
category: microscopy-characterization
priority: medium
phase: 6
tools-libraries:
- WSxM
- SPECS software
- Custom STM analysis 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]
---
# STM Analyzer
## Purpose
The STM Analyzer skill provides atomic-resolution surface analysis through scanning tunneling microscopy, enabling visualization of atomic structures and measurement of local electronic properties.
## Capabilities
- Atomic-resolution imaging
- STS (Scanning Tunneling Spectroscopy)
- Local density of states mapping
- Surface reconstruction analysis
- Molecular imaging
- Low-temperature operation protocols
## Usage Guidelines
### STM Analysis
1. **Imaging**
- Optimize tunneling parameters
- Apply drift correction
- Identify atomic features
2. **Spectroscopy**
- Acquire dI/dV spectra
- Map electronic states
- Identify band structure features
3. **Data Processing**
- Apply Fourier filtering
- Correct for thermal drift
- Calibrate atomic distances
## Process Integration
- In-Situ Characterization Experiment Design
- Structure-Property Correlation Analysis
## Input Schema
```json
{
"data_file": "string",
"analysis_type": "imaging|spectroscopy|sts_mapping",
"bias_voltage": "number (V)",
"setpoint_current": "number (nA)"
}
```
## Output Schema
```json
{
"imaging": {
"atomic_structure": "string",
"lattice_constant": "number (nm)",
"defects_identified": ["string"]
},
"spectroscopy": {
"band_gap": "number (eV)",
"fermi_level": "number (eV)",
"density_of_states": {"energy": [], "dos": []}
}
}
```
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.