PhasesResearchLab/AMMap
Additive Manufacturing Mapping of Compositional Spaces with Thermodynamic, Analytical, and Artificial Intelligence Models
This tool helps materials scientists and metallurgists design new alloys for Additive Manufacturing (3D printing). It takes desired elemental compositions and design constraints as input, then calculates and visualizes optimal alloy pathways and material properties like phase stability and cracking susceptibility across complex compositional spaces. Researchers and engineers working with advanced materials for manufacturing would use this.
Use this if you need to explore vast compositional spaces to design novel alloys for additive manufacturing, navigating complex thermodynamic and material property constraints to find optimal material pathways.
Not ideal if you are looking for a simple, visual-only tool for basic ternary phase diagrams or do not have experience with computational materials science.
Stars
8
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 04, 2025
Commits (30d)
0
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