stm-analyzer

Solid

Scanning Tunneling Microscopy skill for atomic-resolution imaging and local density of states measurements

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
71
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# 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": []} } } ```

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills