Transferable 3D convolutional neural networks for elastic constants prediction in nanoporous metals
- DOI
- 10.1016/j.matdes.2025.114896
- Published
- 12
- Container
- Materials & Design
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.matdes.2025.114896,
title = {Transferable 3D convolutional neural networks for elastic constants prediction in nanoporous metals},
author = {Sergei Zorkaltsev and Rafał Topolnicki and Tal-El Carmon and Santhosh Mathesan and Paweł Dłotko and Dan Mordehai and Maciej Haranczyk},
year = {2025},
journal = {Materials \& Design},
doi = {10.1016/j.matdes.2025.114896},
url = {https://doi.org/10.1016/j.matdes.2025.114896}
}RIS
TY - JOUR TI - Transferable 3D convolutional neural networks for elastic constants prediction in nanoporous metals AU - Sergei Zorkaltsev AU - Rafał Topolnicki AU - Tal-El Carmon AU - Santhosh Mathesan AU - Paweł Dłotko AU - Dan Mordehai AU - Maciej Haranczyk PY - 2025 JO - Materials & Design DO - 10.1016/j.matdes.2025.114896 UR - https://doi.org/10.1016/j.matdes.2025.114896 ER -
APA
Zorkaltsev, S., Topolnicki, R., Carmon, T., Mathesan, S., Dłotko, P., Mordehai, D., & Haranczyk, M. (2025). Transferable 3D convolutional neural networks for elastic constants prediction in nanoporous metals. Materials & Design. https://doi.org/10.1016/j.matdes.2025.114896
Source records
- doaj · retrieved 2026-11-10T11:32:18.150Z