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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.