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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Detalles Bibliográficos
Autores principales: Zheng, Bowen, Zheng, Zeyu, Gu, Grace X.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472110/
https://www.ncbi.nlm.nih.gov/pubmed/34578657
http://dx.doi.org/10.3390/nano11092341

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472110/
https://www.ncbi.nlm.nih.gov/pubmed/34578657
http://dx.doi.org/10.3390/nano11092341

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