摘要
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 lear-ning is employed to establish the structure-property relationship in various material systems[2-3],quickly screen new materials[4-5],discover novel structures[6]and optimize experimental parameters[7],etc.It seems machine learning is revolutionizing the way of materials research by providing new approaches to materials design,synthesis,characterization,and application[8].
出处
《材料导报》
EI
CAS
CSCD
北大核心
2020年第9期1-2,共2页
Materials Reports
