Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction.

ABSTRACT: Extracting data from scientific literature and constructing machine learning-ready (ML-ready) datasets is crucial for data-driven materials discovery. However, material properties under various compositions and processing conditions are often summarized in figures, making manual data extraction time-consuming and labor-intensive. In this study, we propose an automated figure data extraction tool to rapidly generate datasets from figures in materials science literature on Cu-Cr-X alloys used in high-end lead frames, aiming to support the development of next-generation high-strength, high-conductivity copper alloys. We collected 251 figures containing mechanical and electrical performance data from 146 papers and automatically extracted 3,018 high-quality Cu-Cr-X data records. Each record in

SUBMITTER: Yun P 

PROVIDER: S-EPMC12748678 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature