Ontology‐Based Digital Infrastructure for Data‐Driven Glass Development
The development of new glasses is often hampered by inefficient trial‐and‐error approaches. The traditional glass manufacturing process is not only time‐consuming, but also difficult to reproduce with inevitable variations in process parameters. These challenges are addressed by implementing an ontology‐based digital infrastructure coupled with a robotic melting system. This system facilitates high‐throughput glass synthesis and ensures the collection of consistent process data. In addition, the digital infrastructure includes machine learning models for predicting glass properties and a tool for extracting patent information. Current glass databases have significant gaps in the relationships between compositions, process parameters, and properties due to inconsistent studies and nonconforming units. In addition, process parameters are often omitted, and even original literature references provide limited information. By continuously expanding the database with consistent, high‐quality data, it is aimed to fill these gaps and accelerate the glass development process.
Authors
- Sebastian Kempf (ORCID: https://orcid.org/0000-0002-5790-1649)
- Simon Stier (ORCID: https://orcid.org/0000-0003-0410-3616)
- Ya‐Fan Chen (ORCID: https://orcid.org/0000-0003-4295-7815)
- G. Schottner
- Lothar Wondraczek (ORCID: https://orcid.org/0000-0002-0747-3076)
- Andréa Simone Stucchi de Camargo (ORCID: https://orcid.org/0000-0001-8352-2573)
- Martin Kilo (ORCID: https://orcid.org/0009-0002-3566-2410)
- René Limbach (ORCID: https://orcid.org/0000-0002-9716-7178)
- Frank Puppe (ORCID: https://orcid.org/0000-0002-7106-3223)
- Hansjörg Bornhöft (ORCID: https://orcid.org/0009-0006-8790-4046)
- Tina Waurischk (ORCID: https://orcid.org/0000-0002-9969-676X)
- Marek Sierka (ORCID: https://orcid.org/0000-0001-8153-3682)
- Joachim Deubener (ORCID: https://orcid.org/0000-0002-3474-7490)
- Stefan Reinsch (ORCID: https://orcid.org/0000-0003-3216-4635)
- Altair T. Contreras Jaimes (ORCID: https://orcid.org/0000-0003-3315-8149)
- Andreas Diegeler
- Felix Arendt (ORCID: https://orcid.org/0009-0008-2754-4960)
- Ralf Müller
- Shravya Gogula
- Rick Niebergall
- Zhong Pan (ORCID: https://orcid.org/0000-0002-1775-8104)
Institutions
- Federal Institute For Materials Research and Testing (DE)
- Schott (Germany) (DE)
- University of Würzburg (DE)
- Fraunhofer Institute for Silicate Research (DE)
- Clausthal University of Technology (DE)
- Friedrich Schiller University Jena (DE)
Publication Details
- Journal
- Advanced Engineering Materials
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1002/adem.202401560
- Citations
- 6
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 25.01
Funders
- Deutsche Forschungsgemeinschaft
- Bundesministerium für Bildung und Forschung