| Title: | Solution of incompressible viscid fluid flow using a physical informed neural network |
| Authors: | Bublík, O. |
| Citation: | Computational mechanics 2022: book of extended abstracts: 37th conference with international participation, p. 10-11. |
| Issue Date: | 2022 |
| Publisher: | Západočeská univerzita v Plzni |
| Document type: | konferenční příspěvek conferenceObject |
| URI: | http://hdl.handle.net/11025/50358 https://www.kme.zcu.cz/compmech/download/proceedings/CM2022_Conference_Proceedings.pdf |
| Keywords: | fyzikálně informované neuronové sítě;Galerkinova metoda;nestlačitelný tok viskózní tekutiny |
| Keywords in different language: | physical informed neural network;Galerkin finite element method;incompressible viscid fluid flow |
| Rights: | © 2021 University of West Bohemia, Plzeň, Czech Republic |
| Appears in Collections: | Konferenční příspěvky / Conference Papers (KME) Computational mechanics 2022 Computational mechanics 2022 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 51_CM_Bublik_Ondrej.pdf | Plný text | 550,16 kB | Adobe PDF | View/Open |
| CM2022_Conference_Proceedings-uvod.pdf | Plný text | 327,36 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/50358Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.