mat-pourbaix-diagram
OfficialCompute Pourbaix stability vs pH and voltage.
Education & Research#pymatgen#materials project#mlip#pourbaix diagram#electrochemical stability#water correction
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.jsonH2O correction (with fallback to relaxed H2O if needed). - Scripted outputs for interpretation: Produces the Pourbaix plot plus
stable_entries.jsonfor 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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