mat-ionic-substitution

Official

Predict ion-substituted crystal candidates fast.

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Ionic substitution proposes new crystal structures by swapping ions in charge-balanced ways, enabling discovery of candidate materials without running expensive searches from scratch.

Core Features & Use Cases

  • Forward mode (propose): Generate high-probability ion-substituted variants from an existing ordered structure (e.g., NaCoO2 → LiCoO2 and related candidates).
  • Reverse mode (find): Given a target composition, locate known precursor structures in Materials Project whose ion substitutions can produce the target (e.g., Li2ZrCl6 from Li2ZrF6-like families).
  • Actionable outputs: Writes substituted CIF files plus JSON manifests containing substitution maps and probabilities for downstream relaxation and stability ranking.

Quick Start

Run the reverse search for a target composition using the provided script with your MP_API_KEY set, then inspect structure_manifest.json to see which precursor substitutions generate the target candidates.

Dependency Matrix

Required Modules

pymatgenmp-api

Components

scripts

💻 Claude Code Installation

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Name: mat-ionic-substitution
Download link: https://github.com/learningmatter-mit/AtomisticSkills/archive/main.zip#mat-ionic-substitution

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