Data-driven materials innovation and applications

• Main Authors: Wang, Zhuo, Sun, Zhehao, Yin, Hang, Liu, Xinghui, Wang, Jinlan, Zhao, Haitao, Pang, Cheng Heng, Wu, Tao, Li, Shuzhou, Yin, Zongyou, Yu, Xue-Feng
• Other Authors: School of Materials Science and Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Materials; Machine Learning; Material Applications
• Online Access: https://hdl.handle.net/10356/163465
• Institution: Nanyang Technological University

Owing to the rapid developments to improve the accuracy and efficiency of both experimental and computational investigative methodologies, the massive amounts of data generated have led the field of materials science into the fourth paradigm of data-driven scientific research. This transition requir...