Crossmark

Prediction of the compressive mechanical properties and reverse structural design of two-dimensional mesoscopic aluminum foam based on deep learning methods

Crossref DOI link: https://doi.org/10.1007/s10853-024-09866-0

Published Online: 2024-06-17

Published Print: 2024-07

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhuang, Weimin

Wang, Enming https://orcid.org/0000-0002-0065-0308
Zhang, Hailun
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52272364)

Natural Science Foundation of Jilin Province (20210101054JC)
License Information

Text and Data Mining valid from 2024-06-17

Version of Record valid from 2024-06-17
More Information

Article History

Received: 29 March 2024

Accepted: 1 June 2024

First Online: 17 June 2024

Declarations

:

: The authors declare that they have no conflict of interests.

Document is current

Any future updates will be listed below