Machine learning in materials science

Machine learning in materials science

Abstract Traditional methods of discovering new materials, such as the empirical trial and error method and the density functional theory (DFT)‐based method, are unable to keep pace with the development of materials science today due to their long development cycles, low efficiency, and high costs....

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Bibliographic Details
Main Authors: Jing Wei, Xuan Chu, Xiang‐Yu Sun, Kun Xu, Hui‐Xiong Deng, Jigen Chen, Zhongming Wei, Ming Lei
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:InfoMat
Subjects:
data processing
deep learning
machine learning
modeling
validation
Online Access:https://doi.org/10.1002/inf2.12028

Internet

https://doi.org/10.1002/inf2.12028

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