Regensburg 2025 – wissenschaftliches Programm
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AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz
AKPIK 5: Poster
AKPIK 5.3: Poster
Donnerstag, 20. März 2025, 15:00–16:30, P2
Towards an ontology-based digital twin for graphene-based conductor materials — •Fabian Teichert1,2,3, Leonhard Niemann4,5, Florian Fuchs1,2,3, Jörg Schuster1,2,3, and Martin Köhne4 — 1Fraunhofer Institute for Electronic Nano Systems (ENAS), Chemnitz, Germany — 2Center for Microtechnologies, Chemnitz University of Technology, Chemnitz, Germany — 3Center for Materials, Architectures and Integration of Nanomembranes (MAIN), Chemnitz University of Technology, Chemnitz, Germany — 4Department of Advanced Technologies and Micro Systems, Robert Bosch GmbH, Renningen, Germany — 5Faculty of Natural Sciences, Chemnitz University of Technology, Chemnitz, Germany
The Platform Material Digital (www.materialdigital.de) advances digital twins within material science, based on a semantic description using ontologies. The aim is to digitally represent (new) materials, their properties and crucial processing steps. We are actively involved in this endeavour by digitalizing graphene-based conductor materials. An ontology is created and enriched with simulation data and experimental data, covering various aspects such as model parameters, preparation processes, and measurement processes. We create the following demonstrator use cases with a semantic data description: (1) the integration of our simulation methods as workflows within the Platform Material Digital, (2) an App to store, filter, and post-process our production and measurement processes and material properties of the graphene-based conductor materials.
Keywords: digital twin; semantic description; ontology; knowledge graph; platform material digital