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....
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley
2019-09-01
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Series: | InfoMat |
Subjects: | |
Online Access: | https://doi.org/10.1002/inf2.12028 |