Mechanical and Electrical Properties dataset of Cu-Cr-X alloys generated with automated figure data extraction
Year: 2025
Type: article
Language: en
Topic: Machine Learning in Materials Science
Authors and affiliations:
raw_author_name: Peiwen Yun
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Huadong Fu
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China. hdfu@ustb.edu.cn
Beijing Key Laboratory of Materials Intelligent Technology, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China. hdfu@ustb.edu.cn
Institute of Materials Intelligent Technology, Liaoning Academy of Materials, Shenyang, 110004, China. hdfu@ustb.edu.cn
Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Hongtao Zhang
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Lei Jiang
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Xingyu Xiao
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Shuaicheng Zhu
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Yujiao Jia
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Changtai Li
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Wenjin Yang
raw_affiliation_strings: School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, 100083, China
raw_author_name: Jianxin Xie
raw_affiliation_strings: Beijing Advanced Innovation Center for Materials Genome Engineering, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China. jxxie@mater.ustb.edu.cn
Beijing Key Laboratory of Materials Intelligent Technology, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China. jxxie@mater.ustb.edu.cn
Institute of Materials Intelligent Technology, Liaoning Academy of Materials, Shenyang, 110004, China. jxxie@mater.ustb.edu.cn
Beijing Key Laboratory of Materials Intelligent Technology, School of Advanced Materials Innovation, University of Science and Technology Beijing, Beijing, 100083, China
Institute of Materials Intelligent Technology, Liaoning Academy of Materials, Shenyang, 110004, China