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...

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Bibliographic Details
Main Authors: Ning He, Runhai Ouyang, Quan Qian
Format: Article
Language:English
Published: AIP Publishing LLC 2021-03-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0045561