Composition-to-property prediction
Generate thermophysical inputs from a proposed composition for use in digital material and manufacturing studies.
SynaCore Software
AI Alloy
AI Alloy supports intelligent material exploration inside AM-DT. Its machine-learning models, trained on tens of thousands of alloy compositions, generate thermophysical properties for user-defined compositions across major metal alloy families.
Core capabilities
Multiple alloy families
Support nickel-, iron-, titanium-, aluminum-, and high-entropy-alloy composition spaces.
Integrated AM workflow
Bring material intelligence into the same environment as process, thermal, and performance prediction.
How it supports additive manufacturing teams
- Screen candidate compositions before extensive experiments.
- Supply material properties to connected simulation workflows.
- Preserve material-development knowledge as reusable digital data.
- Reduce the search burden in large alloy composition spaces.