Microstructure reconstruction of porous copper foams based on deep convolutional generative adversarial networks with physical characteristics of materials
Crossref DOI link: https://doi.org/10.1007/s41060-021-00308-7
Published Online: 2022-02-15
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Su, Juntong
Xiao, Guangming https://orcid.org/0000-0002-8255-1740
Zhang, Hui
Li, Bo
Text and Data Mining valid from 2022-02-15
Version of Record valid from 2022-02-15
Article History
Received: 21 November 2020
Accepted: 21 December 2021
First Online: 15 February 2022
Declarations
:
: On behalf of all authors, the corresponding author states that there is no conflict of interest.