机器学习及其在材料研发中的作用

doi:10.11896/cldb.20080139

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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.

Key words： machine learning material research simulation method prediction of structure and performance

Published: 13 January 2022 Online: 2022-01-13

CLC number:	TB1
	N3

Fund:This work was financially supported by the National Natural Science Foundation of China (51802343).

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	Articles by authors
	SONG Qinggong
	CHANG Binbin
	DONG Shanshan
	GU Weifeng
	KANG Jianhai
	WANG Mingchao
	LIU Zhifeng

Cite this article:

SONG Qinggong,CHANG Binbin,DONG Shanshan, et al. Machine Learning and Its Influence on Materials Research and Development[J]. Materials Reports, 2022, 36(1): 20080139-7.

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http://www.mater-rep.com/EN/10.11896/cldb.20080139 OR http://www.mater-rep.com/EN/Y2022/V36/I1/20080139

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