Standard Deviation Effect of Average Structure Descriptor on Grain Boundary Energy Prediction

Standard Deviation Effect of Average Structure Descriptor on Grain Boundary Energy Prediction

The structural complexities of grain boundaries (GBs) result in their complicated property contributions to polycrystalline metals and alloys. In this study, we propose a GB structure descriptor by linearly combining the average two-point correlation function (PCF) and standard deviation of PCF via...

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Bibliographic Details
Main Authors: Ruoqi Dang, Wenshan Yu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Materials
Subjects:
grain boundary
descriptor
pair distribution function
grain boundary energy
machine learning method
Online Access:https://www.mdpi.com/1996-1944/16/3/1197

Internet

https://www.mdpi.com/1996-1944/16/3/1197

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