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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Wiley-VCH
2024-06-01
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Series: | Materials Genome Engineering Advances |
Subjects: | |
Online Access: | https://doi.org/10.1002/mgea.50 |