Machine learning is accelerating materials research
来源期刊：材料导报2020年第9期
论文作者：张起 郑玉杰 孙宽
文章页码：9001 - 9002
摘 要：<正>The development of artificial intelligence is reshaping our human society. As a branch of artificial intelligence,machine learning can learn from existing data and establish correlations between input data and the output. The performance of the model can be improved through training,helping us to discover hidden laws in the database. Progress has been made in applying machine learning to the field of materials science[1]. For example,machine learning is employed to establish the structure-property relationship in
张起，郑玉杰，孙宽
MOE Key Laboratory of Low-grade Energy Utilization Technologies and Systems,CQU-NUS Renewable Energy Materials & Devices Joint Laboratory,School of Energy & Power Engineering,Chongqing University
摘 要：<正>The development of artificial intelligence is reshaping our human society. As a branch of artificial intelligence,machine learning can learn from existing data and establish correlations between input data and the output. The performance of the model can be improved through training,helping us to discover hidden laws in the database. Progress has been made in applying machine learning to the field of materials science[1]. For example,machine learning is employed to establish the structure-property relationship in
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