mat-synthesis-recommendation

Official

Rank real synthesis recipes from literature.

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps researchers and engineers find experimentally validated synthesis routes for a target inorganic material by turning text-mined literature records into ranked, actionable recipe candidates.

Core Features & Use Cases

  • Recipe discovery via Materials Project API: Searches the Materials Project synthesis database for recipes matching a target formula.
  • Practical ranking heuristics: Orders results by fewer precursors (simplicity), lower synthesis temperatures (ease), and preference for common synthesis types.
  • Experiment-oriented outputs: Returns precursors, step-by-step procedures, reaction equations (when available), and DOI links to the source papers.
  • Use case: Given a target cathode or ceramic composition (e.g., LiCoO2), quickly shortlist low-precursor, lower-temperature routes to guide lab planning and procurement.

Quick Start

Run the skill to retrieve up to 10 ranked synthesis recipes for LiFePO4 using the Materials Project API and output them to a JSON file named synthesis_recipes.json.

Dependency Matrix

Required Modules

mp-apipymatgenpyyaml

Components

scripts

💻 Claude Code Installation

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

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