This work customised a novel Fe-Ni-Ti-Al maraging steel assisted by machine learning to leverage the IHT effect for the in-situ formation of massive precipitates during LAM without PHT.
-
Updated
Nov 16, 2023 - Jupyter Notebook
This work customised a novel Fe-Ni-Ti-Al maraging steel assisted by machine learning to leverage the IHT effect for the in-situ formation of massive precipitates during LAM without PHT.
[OPEN Alloy] The official implement of ATON for high entropy alloy discovery
Building ML models to predict the super alloys
Interpretable machine learning framework for designing hydrogen-embrittlement-resistant aluminum alloys: XGBoost severity classifier, SHAP interpretation, and scenario-vector inverse design over 1M+ candidate compositions. Code for the accompanying Digital Discovery paper.
Add a description, image, and links to the alloy-design topic page so that developers can more easily learn about it.
To associate your repository with the alloy-design topic, visit your repo's landing page and select "manage topics."