mat-dft-ferroelectric

Official

Compute spontaneous ferroelectric polarization

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Calculate spontaneous ferroelectric polarization by evaluating Berry-phase polarization across a non-polar to polar structural transition.

Core Features & Use Cases

  • Berry-phase polarization along an interpolation path: Tracks continuous polarization evolution from a high-symmetry reference state to a low-symmetry polar state.
  • Automated intermediate structure generation: Uses FerroelectricMaker to create and stitch intermediate supercells to avoid polarization-branch discontinuities.
  • VASP LCALCPOL workflow orchestration: Runs VASP polarization calculations for interpolated images and extracts the final polarization in μC/cm².
  • Use case: Determine the spontaneous polarization vector for a perovskite ferroelectric (e.g., BaTiO3) by mapping one-to-one polar and non-polar structures and running Berry-phase polarization calculations.

Quick Start

Generate the ferroelectric workflow DAG by running: python .agents/skills/mat-dft-ferroelectric/scripts/generate_inputs.py --output ferroelectric_flow.json.

Dependency Matrix

Required Modules

pymatgenatomate2jobflow

Components

scripts

💻 Claude Code Installation

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Please help me install this Skill:
Name: mat-dft-ferroelectric
Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#mat-dft-ferroelectric

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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