SSRNEconometrics & Forecasting
Explainable ML for Aluminum Alloys Properties Prediction
The study introduces a machine learning-based predictive framework for forecasting tensile properties of aluminum alloys, providing a cost-effective method to optimize alloy design.
Featured in No. 81 on 8 Jan 2025 · 4 days after release
- Released
- 4 Jan 2025
- First featured
- No. 81 · 8 Jan 2025
- Published in
- Not yet, as far as Semantic Scholar knows
- Shares when featured
- 2
- Identifier
- SSRN 5082633
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).