Efficient machine learning of solute segregation energy based on physics-informed features

Abstract Machine learning models solute segregation energy based on appropriate features of segregation sites. Lumping many features together can give a decent accuracy but may suffer the curse of dimensionality. Here, we modeled the segregation energy with efficient machine learning using physics-i...

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Bibliographic Details
Main Authors: Zongyi Ma, Zhiliang Pan
Format: Article
Language:English
Published: Nature Portfolio 2023-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-38533-8