Data-driven prediction of the mechanical behavior of nanocrystalline graphene using a deep convolutional neural network with PCA
Crossref DOI link: https://doi.org/10.1007/s00366-024-02074-z
Published Online: 2024-10-26
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shin, Wonjun
Jang, Seongwoo
Hwang, Yunhyoung
Han, Jihoon
Text and Data Mining valid from 2024-10-26
Version of Record valid from 2024-10-26
Article History
Received: 13 July 2024
Accepted: 15 October 2024
First Online: 26 October 2024
Declarations
:
: The authors declare no competing interests.