Related Data for: Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation

This folder contains the supplementary information for the conference paper "Explainable AI for Property Prediction in Scrap-Based Steel Production: A Public Data Implementation" The datasets used are publicly available and referenced in the following: 1. Guo, S., Yu, J., Liu, X., Wang, C., & Jiang, Q. (2019). A predicting model for properties of steel using the industrial big data based on machine learning. Computational Materials Science, 160, 95-104.https://doi.org/10.17632/f6zsvbf28y.1 2. Dunn, A., Wang, Q., Ganose, A., Dopp, D., & Jain, A. (2020). Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm. npj Computational Materials, 6(1), 138. https://www.nature.com/articles/s41524-020-00406-3 3. MatNavi: Kong H. MatNavi: Mechanical properties of low-alloy steels; 2022. Accessed: 2025-05-09. https://www.kaggle.com/datasets/konghuanqing/matnavi-mechanical-properties-of-lowalloy-steels