Neural operators in industrial processes
- Operator neural networks open up new possibilities for the efficient modeling and simulation of complex industrial processes. This article provides an overview of common model types such as DeepONet, FNO, GNO, and related variants, and demonstrates through various industrial application examples how suitable architectures can be selected.
| Author: | Lichu Wang, Johannes SchilpGND |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1327611 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/132761 |
| ISSN: | 1436-4980OPAC |
| Parent Title (German): | wt Werkstattstechnik online |
| Publisher: | VDI Fachmedien |
| Place of publication: | Düsseldorf |
| Type: | Article |
| Language: | English |
| Year of first Publication: | 2026 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2026/08/21 |
| Volume: | 116 |
| Issue: | 3 |
| First Page: | 111 |
| Last Page: | 117 |
| DOI: | https://doi.org/10.37544/1436-4980-2026-03-15 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Produktionsinformatik | |
| Dewey Decimal Classification: | 6 Technik, Medizin, angewandte Wissenschaften / 67 Industrielle Fertigung / 670 Industrielle Fertigung |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung |
