June 21, 2020 Dataset Open Access

Wu, Ling; Nguyen, Van Dung; Kilingar, Nanda Gopala; Noels, Ludovic

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  <identifier identifierType="DOI">10.5281/zenodo.3902663</identifier>
  <creators>
    <creator>
      <creatorName>Wu, Ling</creatorName>
      <givenName>Ling</givenName>
      <familyName>Wu</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-8166-3065</nameIdentifier>
      <affiliation>University of Liege</affiliation>
    </creator>
    <creator>
      <creatorName>Nguyen, Van Dung</creatorName>
      <givenName>Van Dung</givenName>
      <familyName>Nguyen</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-6671-6915</nameIdentifier>
      <affiliation>University of Liege</affiliation>
    </creator>
    <creator>
      <creatorName>Kilingar, Nanda Gopala</creatorName>
      <givenName>Nanda Gopala</givenName>
      <familyName>Kilingar</familyName>
      <affiliation>University of Liege</affiliation>
    </creator>
    <creator>
      <creatorName>Noels, Ludovic</creatorName>
      <givenName>Ludovic</givenName>
      <familyName>Noels</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-7224-5539</nameIdentifier>
      <affiliation>University of Liege</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Data of A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>Artificial Neural Network</subject>
    <subject>Recurrent Neural Network</subject>
    <subject>Surrogate</subject>
    <subject>Multi-scale</subject>
    <subject>Elasto-plasticity</subject>
    <subject>Data-driven</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-06-21</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3902663</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="Handle" relationType="IsDocumentedBy" resourceTypeGeneral="JournalArticle">10.1016/j.cma.2020.113234</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3902662</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;pre&gt;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 = &amp;quot;A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths&amp;quot;,
journal = &amp;quot;Computer Methods in Applied Mechanics and Engineering&amp;quot;,
pages = &amp;quot; 113234&amp;quot;,
year = &amp;quot;2020&amp;quot;,
issn = &amp;quot;0045-7825&amp;quot;,
doi = &amp;quot;https://doi.org/10.1016/j.cma.2020.113234&amp;quot;,
author = &amp;quot;Wu, Ling and Nguyen, Van Dung and Kilingar, Nanda Gopala and Noels, Ludovic&amp;quot;&lt;/pre&gt;</description>
    <description descriptionType="Other">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)</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/Horizon 2020 Framework Programme - Research and Innovation action/862015/">862015</awardNumber>
      <awardTitle>Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials</awardTitle>
    </fundingReference>
  </fundingReferences>
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