Scalable Graphene Defect Prediction Using Transferable Learning

Scalable Graphene Defect Prediction Using Transferable Learning

Notably known for its extraordinary thermal and mechanical properties, graphene is a favorable building block in various cutting-edge technologies such as flexible electronics and supercapacitors. However, the almost inevitable existence of defects severely compromises the properties of graphene, an...

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Bibliografske podrobnosti
Main Authors: Bowen Zheng, Zeyu Zheng, Grace X. Gu
Format: Article
Jezik:English
Izdano: MDPI AG 2021-09-01
Serija:Nanomaterials
Teme:
graphene
defects
machine learning
transferable learning
molecular dynamics simulation
Online dostop:https://www.mdpi.com/2079-4991/11/9/2341

Internet

https://www.mdpi.com/2079-4991/11/9/2341

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