Efficiently searching extreme mechanical properties via boundless objective-free exploration and minimal first-principles calculations

Abstract Despite the machine learning (ML) methods have been largely used recently, the predicted materials properties usually cannot exceed the range of original training data. We deployed a boundless objective-free exploration approach to combine traditional ML and density functional theory (DFT)...

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Bibliographic Details
Main Authors: Joshua Ojih, Mohammed Al-Fahdi, Alejandro David Rodriguez, Kamal Choudhary, Ming Hu
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-022-00836-1