Dataset Open Access
Wu, Ling;
Nguyen, Van Dung;
Kilingar, Nanda Gopala;
Noels, Ludovic
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nmm##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Artificial Neural Network</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Recurrent Neural Network</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Surrogate</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Multi-scale</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Elasto-plasticity</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Data-driven</subfield> </datafield> <controlfield tag="005">20220729130408.0</controlfield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">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)</subfield> </datafield> <controlfield tag="001">3902663</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of Liege</subfield> <subfield code="0">(orcid)0000-0001-6671-6915</subfield> <subfield code="a">Nguyen, Van Dung</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of Liege</subfield> <subfield code="a">Kilingar, Nanda Gopala</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">University of Liege</subfield> <subfield code="0">(orcid)0000-0002-7224-5539</subfield> <subfield code="a">Noels, Ludovic</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">298040235</subfield> <subfield code="z">md5:1ce4bfa0056278863f9d511906c4058f</subfield> <subfield code="u">https://zenodo.org/record/3902663/files/moammmpublic-master-publicationsData-2020_CMAME_RNN.zip</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2020-06-21</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire_data</subfield> <subfield code="o">oai:zenodo.org:3902663</subfield> </datafield> <datafield tag="909" ind1="C" ind2="4"> <subfield code="c">113234</subfield> <subfield code="p">Computer Methods in Applied Mechanics and Engineering</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">University of Liege</subfield> <subfield code="0">(orcid)0000-0001-8166-3065</subfield> <subfield code="a">Wu, Ling</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Data of A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">862015</subfield> <subfield code="a">Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = &quot;A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths&quot;, journal = &quot;Computer Methods in Applied Mechanics and Engineering&quot;, pages = &quot; 113234&quot;, year = &quot;2020&quot;, issn = &quot;0045-7825&quot;, doi = &quot;https://doi.org/10.1016/j.cma.2020.113234&quot;, author = &quot;Wu, Ling and Nguyen, Van Dung and Kilingar, Nanda Gopala and Noels, Ludovic&quot;</pre></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">handle</subfield> <subfield code="i">isDocumentedBy</subfield> <subfield code="a">10.1016/j.cma.2020.113234</subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3902662</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3902663</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">dataset</subfield> </datafield> </record>
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