Learning interpretable descriptors for the fatigue strength of steels
While the new paradigm of data-driven materials science has proven efficient in accelerated materials discovery, one challenge is whether the data-driven methods could deliver interpretable models that provide scientific insights in addition to accuracy. In this work, with the example of data-driven...
Main Authors: | Ning He, Runhai Ouyang, Quan Qian |
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Format: | Article |
Language: | English |
Published: |
AIP Publishing LLC
2021-03-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/5.0045561 |
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