mat-pourbaix-diagram

Official

Compute Pourbaix stability vs pH and voltage.

Authorlearningmatter-mit
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill calculates thermodynamically consistent Pourbaix (pH–voltage) diagrams to determine aqueous electrochemical stability domains for materials.

Core Features & Use Cases

  • Water-corrected thermodynamic consistency: Applies Persson et al. (2012) water correction by calibrating MLIP solid energies with aqueous free-energy scales (SHE reference).
  • Two input pathways: Generate diagrams from Materials Project entries (baseline) or from MLIP-relaxed solid structures (MLIP-calculated workflow).
  • Automated referencing: Loads missing elemental reference energies via the elemental-energies skill and uses a checkpoint-matched resources/h2o_energies.json H2O correction (with fallback to relaxed H2O if needed).
  • Scripted outputs for interpretation: Produces the Pourbaix plot plus stable_entries.json for the pH/voltage stability regions.

Quick Start

Calculate a water-corrected Pourbaix diagram for Zn using MLIP-relaxed solids by running calculate_pourbaix.py with your relaxed_solids directory and target element.

Dependency Matrix

Required Modules

mp_apipymatgennumpyyaml

Components

scriptsreferences

💻 Claude Code Installation

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

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