Data of A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths
Description
This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 862015 for the project "Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials (MOAMMM)" of the H2020-EU.1.2.1. -FET Open Programme. N.G. Kilingar was financed by the EnlightenIt project, grant number PDR T.0038.16 of FRS-FNRS. V.D. Nguyen was a Postdoctoral Researcher at the Belgian National Fund for Scientific Research (FNRS)
Resources
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http://data.europa.eu/88u/dataset/oai-zenodo-org-3902663 |
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http://data.europa.eu/88u/dataset/oai-zenodo-org-3902663 |
Tags
- multi-scale
- recurrent-neural-network
- artificial-neural-network
- surrogate
- data-driven
- elasto-plasticity