{"date_updated":"2026-07-06T15:50:37Z","publication_status":"published","intvolume":"         6","year":"2026","title":"Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration","author":[{"full_name":"Gräßler, Iris","first_name":"Iris","orcid":"0000-0001-5765-971X","last_name":"Gräßler","id":"47565"},{"full_name":"Döhner, Niklas","orcid":"https://orcid.org/0009-0005-7676-4036","first_name":"Niklas","last_name":"Döhner","id":"108017"}],"publication_identifier":{"issn":["2732-527X"]},"doi":"10.1017/pds.2026.10394","main_file_link":[{"url":"https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/leveraging-extremescale-simulation-data-a-workflow-framework-for-multidisciplinary-simulator-integration/7487C465DBA5DC633F1A37609C2E3D70","open_access":"1"}],"language":[{"iso":"eng"}],"abstract":[{"lang":"eng","text":"<jats:title>ABSTRACT:</jats:title>\r\n                  <jats:p>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.</jats:p>"}],"publication":"Proceedings of the Design Society","keyword":["simulation-based design","design tools","multi-/cross-/trans-disciplinary approaches","simulation data reuse"],"type":"conference","department":[{"_id":"152"}],"date_created":"2026-07-06T15:45:02Z","status":"public","user_id":"108017","volume":6,"page":"357-366","_id":"66288","publisher":"Cambridge University Press (CUP)","quality_controlled":"1","citation":{"chicago":"Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” In <i>Proceedings of the Design Society</i>, 6:357–66. Cambridge University Press (CUP), 2026. <a href=\"https://doi.org/10.1017/pds.2026.10394\">https://doi.org/10.1017/pds.2026.10394</a>.","short":"I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge University Press (CUP), 2026, pp. 357–366.","apa":"Gräßler, I., &#38; Döhner, N. (2026). Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. <i>Proceedings of the Design Society</i>, <i>6</i>, 357–366. <a href=\"https://doi.org/10.1017/pds.2026.10394\">https://doi.org/10.1017/pds.2026.10394</a>","ieee":"I. Gräßler and N. Döhner, “Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration,” in <i>Proceedings of the Design Society</i>, 2026, vol. 6, pp. 357–366, doi: <a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>.","ama":"Gräßler I, Döhner N. Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration. In: <i>Proceedings of the Design Society</i>. Vol 6. Cambridge University Press (CUP); 2026:357-366. doi:<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>","bibtex":"@inproceedings{Gräßler_Döhner_2026, title={Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration}, volume={6}, DOI={<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>}, booktitle={Proceedings of the Design Society}, publisher={Cambridge University Press (CUP)}, author={Gräßler, Iris and Döhner, Niklas}, year={2026}, pages={357–366} }","mla":"Gräßler, Iris, and Niklas Döhner. “Leveraging Extreme-Scale Simulation Data: A Workflow Framework for Multidisciplinary Simulator Integration.” <i>Proceedings of the Design Society</i>, vol. 6, Cambridge University Press (CUP), 2026, pp. 357–66, doi:<a href=\"https://doi.org/10.1017/pds.2026.10394\">10.1017/pds.2026.10394</a>."},"oa":"1"}