A review on the applications of graph neural networks in materials science at the atomic scale

Abstract In recent years, interdisciplinary research has become increasingly popular within the scientific community. The fields of materials science and chemistry have also gradually begun to apply the machine learning technology developed by scientists from computer science. Graph neural networks...

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Bibliographic Details
Main Authors: Xingyue Shi, Linming Zhou, Yuhui Huang, Yongjun Wu, Zijian Hong
Format: Article
Language:English
Published: Wiley-VCH 2024-06-01
Series:Materials Genome Engineering Advances
Subjects:
Online Access:https://doi.org/10.1002/mgea.50