File size: 1,345 Bytes
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license: openrail
---
implements:
1. Multi-output property surrogate
Predicts resistivity, TCR, Seebeck coefficient, resistance drift, hardness, strength, ductility, and stability score.
2. Uncertainty-aware prediction
Uses ensemble spread as prediction uncertainty, matching your document’s idea that property prediction models can provide candidate estimates and uncertainty bounds for robust feasibility testing
3. Scenario robustness testing
Perturbs composition, cold work, annealing, test temperature, cyclic strain, and measurement noise.
4. Robust feasibility scoring
Checks whether each alloy route remains inside target property windows across scenarios.
5. Matroid-style greedy partitioning
Assigns candidates into buckets such as:
* electrical stability
* high resistivity
* formability
* robust manufacturing
* experimental validation
6. Closed-loop update path
The code is compatible with the workflow in your PDF: Generate → Predict → Partition → Validate → Update, where new experiments update the database and retrain the surrogate model
Important: the script includes synthetic data only for testing the pipeline. For real conclusions, replace it with actual experimental, CALPHAD, phase-field, or published Cu–Ni property data.
https://matroid.streamlit.app/ |