<?xml version="1.0" encoding="UTF-8"?>

<modsCollection xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd">
<mods version="3.3">

<genre>conference paper</genre>

<titleInfo><title>Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration</title></titleInfo>


<note type="publicationStatus">published</note>


<note type="qualityControlled">yes</note>

<name type="personal">
  <namePart type="given">Iris</namePart>
  <namePart type="family">Gräßler</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">47565</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0001-5765-971X</description></name>
<name type="personal">
  <namePart type="given">Niklas</namePart>
  <namePart type="family">Döhner</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">108017</identifier><description xsi:type="identifierDefinition" type="orcid">https://orcid.org/0009-0005-7676-4036</description></name>







<name type="corporate">
  <namePart></namePart>
  <identifier type="local">152</identifier>
  <role>
    <roleTerm type="text">department</roleTerm>
  </role>
</name>








<abstract lang="eng">&lt;jats:title&gt;ABSTRACT:&lt;/jats:title&gt;
                  &lt;jats:p&gt;Engineers simulate system behavior to support decisions in product engineering. Leveraging such engineering simulation data in strategic product planning can support idea generation and early evaluation of design alternatives and limitations. However, limited resources and expertise hinder broader uptake in strategic product planning. This paper investigates simulator integration into automated workflows and key processing components to enable simulation without in-depth expertise. This approach improves strategic product planning by creating data-based decision support.&lt;/jats:p&gt;</abstract>

<originInfo><publisher>Cambridge University Press (CUP)</publisher><dateIssued encoding="w3cdtf">2026</dateIssued>
</originInfo>
<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
</language>

<subject><topic>simulation-based design</topic><topic>design tools</topic><topic>multi-/cross-/trans-disciplinary approaches</topic><topic>simulation data reuse</topic>
</subject>


<relatedItem type="host"><titleInfo><title>Proceedings of the Design Society</title></titleInfo>
  <identifier type="issn">2732-527X</identifier><identifier type="doi">10.1017/pds.2026.10394</identifier>
<part><detail type="volume"><number>6</number></detail><extent unit="pages">357-366</extent>
</part>
</relatedItem>


<extension>
<bibliographicCitation>
<short>I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge University Press (CUP), 2026, pp. 357–366.</short>
<chicago>Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” In &lt;i&gt;Proceedings of the Design Society&lt;/i&gt;, 6:357–66. Cambridge University Press (CUP), 2026. &lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;https://doi.org/10.1017/pds.2026.10394&lt;/a&gt;.</chicago>
<ieee>I. Gräßler and N. Döhner, “Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration,” in &lt;i&gt;Proceedings of the Design Society&lt;/i&gt;, 2026, vol. 6, pp. 357–366, doi: &lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;10.1017/pds.2026.10394&lt;/a&gt;.</ieee>
<apa>Gräßler, I., &amp;#38; Döhner, N. (2026). Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. &lt;i&gt;Proceedings of the Design Society&lt;/i&gt;, &lt;i&gt;6&lt;/i&gt;, 357–366. &lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;https://doi.org/10.1017/pds.2026.10394&lt;/a&gt;</apa>
<bibtex>@inproceedings{Gräßler_Döhner_2026, title={Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}, volume={6}, DOI={&lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;10.1017/pds.2026.10394&lt;/a&gt;}, booktitle={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Gräßler, Iris and Döhner, Niklas}, year={2026}, pages={357–366} }</bibtex>
<ama>Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. In: &lt;i&gt;Proceedings of the Design Society&lt;/i&gt;. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:&lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;10.1017/pds.2026.10394&lt;/a&gt;</ama>
<mla>Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” &lt;i&gt;Proceedings of the Design Society&lt;/i&gt;, vol. 6, Cambridge University Press (CUP), 2026, pp. 357–66, doi:&lt;a href=&quot;https://doi.org/10.1017/pds.2026.10394&quot;&gt;10.1017/pds.2026.10394&lt;/a&gt;.</mla>
</bibliographicCitation>
</extension>
<recordInfo><recordIdentifier>66288</recordIdentifier><recordCreationDate encoding="w3cdtf">2026-07-06T15:45:02Z</recordCreationDate><recordChangeDate encoding="w3cdtf">2026-07-06T15:50:37Z</recordChangeDate>
</recordInfo>
</mods>
</modsCollection>
