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https://doi.org/10.1515/jnum-2012-0013</unstructured_citation>
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analysis suite</article_title>
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French aerospace lab. (1981-present). Zset: Nonlinear material &amp;
structure analysis suite.
http://www.zset-software.com</unstructured_citation>
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https://vtk.org/</unstructured_citation>
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<journal_title>Journal of Open Source
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<issue>37</issue>
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https://doi.org/10.21105/joss.01450</unstructured_citation>
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