Prediction of the compressive mechanical properties and reverse structural design of two-dimensional mesoscopic aluminum foam based on deep learning methods
Author:
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jilin Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10853-024-09866-0.pdf
Reference51 articles.
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3. Zhang JS, An YK, Ma HY (2022) Research progress in the preparation of aluminum foam composite structures. Metals 12(12):2047. https://doi.org/10.3390/met12122047
4. Sun YL, Li QM (2018) Dynamic compressive behaviour of cellular materials: a review of phenomenon, mechanism and modelling. Int J Impact Eng 112:74–115. https://doi.org/10.1016/j.ijimpeng.2017.10.006
5. Lefebvre LP, Banhart J, Dunand DC (2008) Porous metals and metallic foams: current status and recent developments. Adv Eng Mater 10(9):775–787. https://doi.org/10.1002/adem.200800241
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