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Clustering cross-domain simulation, measurement and process data to derive data-model requirements for vitrimer qualification
Dammann, Peter, Maximilian; Saske, Bernhard; Fuchs, Jannick; Alms, Jonathan; Lang, Michael; Guskova, Olga; Müller-Pabel, Michael; Grüber, Bernd; Beier, Christoph; Heym, Maximilian; Paetzold-Byhain, Kristin; Hopmann, Christian; Stommel, Markus; Gude, Maik; Schiebahn, Alexander
Type:
Year:
2026
Editor:
Paetzold-Byhain, K.; Krause, D.; Wartzack, S. and Koch, A.
Author:
Dammann, Peter, Maximilian; Saske, Bernhard; Fuchs, Jannick; Alms, Jonathan; Lang, Michael; Guskova, Olga; Müller-Pabel, Michael; Grüber, Bernd; Beier, Christoph; Heym, Maximilian; Paetzold-Byhain, Kristin; Hopmann, Christian; Stommel, Markus; Gude, Maik; Schiebahn, Alexander
Series:
DfX
Institution:
Dresden University of Technology, Germany; RWTH Aachen University, Germany; Leibniz Institute of Polymer Research Dresden, Germany
Page(s):
100-109
DOI number:
Abstract:
Vitrimers are promising materials for sustainable lightweight structures, e.g. in battery electric vehicles. Their current research spans molecular simulation, testing and manufacturing, generating heterogeneous multiscale data that currently reside in isolated files, limiting reuse and cross-domain analysis. Graph-based data management can capture this data efficiently. We record domain workflows via structured questionnaires and code them using the Gioia methodology. This results in seven aggregate dimensions. These are translated into competency questions specifying the entities and relationships a labelled property graph data model must represent. On this basis, we extend an existing Vitrimer Base Schema towards an extensible model for cross-domain vitrimer qualification.
Keywords:
