Data and Code for paper "Room-temperature property-anchored transfer learning for high-temperature mechanical-property prediction of low-alloy steels"

This deposit contains the dataset and source code supporting the findings of the manuscript “Room-temperature property-anchored transfer learning for high-temperature mechanical-property prediction of low-alloy steels” The raw dataset used in this study is publicly available from the NIMS MatNavi/Metallic Materials Database (Kinzoku) and from the Kaggle-hosted dataset “MatNavi Mechanical properties of low-alloy steels”: https://www.kaggle.com/datasets/konghuanqing/matnavi-mechanical-properties-of-lowalloy-steels. We acknowledge and credit the original authors for providing these valuable data. The author performed a series of processing steps based on the existing data, such as adding additional features.