Bissantz, Julian ; Karpowski, Jeremy ; Steinhausen, Matthias ; Luo, Yujuan ; Ferraro, Federica ; Scholtissek, Arne ; Hasse, Christian ; Vervisch, Luc (2023)
Application of dense neural networks for manifold-based modeling of flame-wall interactions.
In: Applications in Energy and Combustion Science, 13
doi: 10.1016/j.jaecs.2023.100113
Article, Bibliographie
| Item Type: | Article |
|---|---|
| Erschienen: | 2023 |
| Creators: | Bissantz, Julian ; Karpowski, Jeremy ; Steinhausen, Matthias ; Luo, Yujuan ; Ferraro, Federica ; Scholtissek, Arne ; Hasse, Christian ; Vervisch, Luc |
| Type of entry: | Bibliographie |
| Title: | Application of dense neural networks for manifold-based modeling of flame-wall interactions |
| Language: | English |
| Date: | January 2023 |
| Publisher: | Elsevier |
| Journal or Publication Title: | Applications in Energy and Combustion Science |
| Volume of the journal: | 13 |
| DOI: | 10.1016/j.jaecs.2023.100113 |
| URL / URN: | https://www.sciencedirect.com/science/article/pii/S2666352X2... |
| Uncontrolled Keywords: | Machine learning, Data-driven modeling, Manifold methods, Head-on quenching, Side-wall quenching |
| Additional Information: | Artikel-ID: 100113 |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Simulation of reactive Thermo-Fluid Systems (STFS) |
| Date Deposited: | 20 Mar 2023 07:11 |
| Last Modified: | 20 Mar 2023 08:30 |
| PPN: | 506151565 |
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