Machine Learning and Its Influence on Materials Research and Development
SONG Qinggong1,2, CHANG Binbin1, DONG Shanshan3, GU Weifeng1, KANG Jianhai1, WANG Mingchao1, LIU Zhifeng1
1 Institute of Low Dimensional Materials and Technology, College of Science, Civil Aviation University of China, Tianjin 300300, China 2 College of Aviation Engineering, Anyang University, Anyang 455000, Henan, China 3 Sino-European Institute of Aviation Engineering, Civil Aviation University of China, Tianjin 300300, China
Abstract: Literature statistics show that machine learning methods are developing rapidly in the field of materials under the background of big data because of its prominent role. This paper briefly introduces the birth and development and expounds the influence, significance and interpre-tability of machine learning. The application of machine learning in the field of materials is reviewed. On the one hand, machine learning provides new methods and techniques for material structure and performance prediction, on the other hand, it can improve or upgrade traditional research methods by combining or integrating with them. The application of machine learning can provide important basis for materials research, improve the efficiency of materials research and development, save time and resources, enhance the quality of results, and accelerate the process of discovering and developing new materials. It is necessary to develop new machine learning methods in order to promote the interpretability and accuracy of prediction and avoid the appearance of overfitting.
宋庆功, 常斌斌, 董珊珊, 顾威风, 康建海, 王明超, 刘志锋. 机器学习及其在材料研发中的作用[J]. 材料导报, 2022, 36(1): 20080139-7.
SONG Qinggong, CHANG Binbin, DONG Shanshan, GU Weifeng, KANG Jianhai, WANG Mingchao, LIU Zhifeng. Machine Learning and Its Influence on Materials Research and Development. Materials Reports, 2022, 36(1): 20080139-7.
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