Research on Application of Machine Learning Technology in New Material System. Issue 3 (April 2021)

• Record Type: Journal Article
• Authors: Wang, Jiaoyu; Zhang, Daxiu
• Is Part Of: Journal of physics. Volume 1865:Issue 3(2021)
• Publication Date: 2021-04
• Subjects: New materials -- machine learning -- material calculation simulation; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1865/3/032009
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Materials are not only the foundation of the national economy, but also the carrier of high-tech. Machine learning combined with computer science, database theory, statistics, computational mathematics and engineering cannot only show faster calculation speed and reliable predictive ability, significantly improve the efficiency of material calculations, and it can also effectively deal with some systems and problems that are difficult to use traditional simulation computing methods. This article will briefly outline the basic principles of machine learning, introduce several typical algorithms in machine learning models and how machine learning is the application progress in the research of new materials, and the prospects for the future development of machine learning in the field of materials science.