# Transport Analysis

> Use when the task is to analyze transport-relevant quantities from DFT-derived results, including carrier-type tendency, effective-mass estimates, simple DOS-informed transport trends, thermoelectric-style screening descriptors, bipolar-risk checks, multi-candidate ranking, and compact markdown reports from finished calculations.

- Skill: `chatmaterials/transport-analysis` (Agent Skill, multi-file: 4 files)
- Install (CLI): `npx skillmds@latest add chatmaterials/transport-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/chatmaterials/transport-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: chatmaterials (https://skillmd.com/u/chatmaterials)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/chatmaterials/transport-analysis

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# Transport Analysis

Use this skill for transport-oriented post-processing rather than generic workflow setup.

## When to use

- estimate whether the electronic structure suggests electron- or hole-like transport tendency
- estimate an effective mass from a simple band-edge dispersion
- summarize a transport trend from band-edge and DOS information
- derive compact thermoelectric-style screening descriptors such as activation energy and transport quality score
- estimate bipolar-conduction risk from the band gap and temperature
- rank multiple candidate datasets with a compact screening heuristic
- write a compact transport-analysis report from existing data

## Use the bundled helpers

- `scripts/analyze_carrier_type.py`
  Estimate a carrier-type tendency from a band structure and Fermi level.
- `scripts/analyze_effective_mass.py`
  Estimate an effective mass from a simple band-edge dispersion.
- `scripts/analyze_transport_trend.py`
  Summarize a simple transport trend from band-edge and DOS information and derive compact quality descriptors.
- `scripts/analyze_bipolar_risk.py`
  Estimate a compact bipolar-conduction risk from the band gap and temperature.
- `scripts/compare_transport_candidates.py`
  Rank multiple candidate datasets with a compact gap-plus-mass screening heuristic.
- `scripts/export_transport_report.py`
  Export a markdown transport-analysis report.

## Guardrails

- Treat these outputs as compact descriptors, not a full Boltzmann transport workflow.
- State the assumed Fermi level and occupied-band count explicitly.
- Distinguish qualitative trend analysis from quantitative transport coefficients.