| name | superconductivity-analysis |
| description | Use when the task is to analyze superconductivity-relevant quantities from DFT or Eliashberg-style outputs, including electron-phonon coupling summaries, logarithmic phonon frequency estimates, phonon-stability checks, Allen-Dynes Tc estimates, mu*-sensitivity or Tc robustness checks, mode-specific candidate ranking, and compact markdown reports from finished calculations. |
Superconductivity Analysis
Use this skill for superconductivity-oriented post-processing rather than generic workflow setup.
When to use
- summarize electron-phonon coupling from an
alpha^2F-like spectrum
- estimate
lambda and omega_log
- check whether a phonon mode set contains soft or imaginary modes
- estimate a simple Allen-Dynes
Tc
- estimate how sensitive Tc is to the chosen
mu*
- rank multiple superconducting candidates in balanced, high-Tc, robust, or stable modes
- write a compact superconductivity-analysis report from existing data
Use the bundled helpers
scripts/analyze_alpha2f.py
Estimate lambda and omega_log from an alpha^2F spectrum.scripts/analyze_phonon_modes.py
Summarize phonon-mode stability and soft-mode counts.scripts/estimate_tc.py
Estimate Tc from lambda, omega_log, and mu*.scripts/analyze_tc_sensitivity.py
Sweep Tc over a range of mu* values and summarize robustness.scripts/compare_superconducting_candidates.py
Rank multiple superconducting candidates with a compact Tc-plus-stability heuristic.scripts/export_superconductivity_report.py
Export a markdown superconductivity-analysis report.
Guardrails
- Treat the resulting
Tc as a compact estimate, not a full superconductivity prediction workflow.
- Be explicit about the chosen
mu*.
- Distinguish soft modes from fully imaginary-mode instabilities.
