Work

Clustering cross-domain simulation, measurement and process data to derive data-model requirements for vitrimer qualification

Year: 2026

Type: conference-paper

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.

Source: Symposium Design for X (DFX)

DOI: 10.35199/dfx2026.11

Authors: Peter Dammann, Bernhard Saske, Jannick Fuchs, Jonathan Alms, Michael Lang, Olga Guskova, Michael Müller-Pabel, Bernd Grüber, Christoph Beier, Maximilian Heym, Kristin Paetzold-Byhain, Christian Hopmann, Markus Stommel, Maik Gude, Alexander Schiebahn

Institutions: Technische Universität Dresden, RWTH Aachen University, Leibniz Institute of Polymer Research

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: bronze

OpenAlex ID: W7222167494

FWCI:

Cites:

Cited by:

Related to: