Molecular Dynamics Study of Temperature Dependence of Grain Boundaries (100) in Pure Aluminum with Application of Machine Learning

As is known, grain boundary (GB) energy determines the mobility of GBs and their population in metals. In this work, we study the energy of GBs in the (100) crystallographic plane and in the temperature range from 100 to 700 K. The study is carried out using both the molecular dynamic (MD) method an...

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Bibliographic Details

Published in:	Metals
Main Author:	Evgenii V. Fomin
Format:	Article
Language:	English
Published:	MDPI AG 2024-03-01
Subjects:	grain boundaries grain boundary energy temperature dependence machine learning artificial neural networks
Online Access:	https://www.mdpi.com/2075-4701/14/4/415