Mohammed Abda and Frederick Gosselin
Abstract (2023)
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| Department: | Department of Mechanical Engineering |
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| Research Center: | LM2 - Laboratory for Multi-scale Mechanics |
| PolyPublie URL: | https://publications.polymtl.ca/60214/ |
| Conference Title: | Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress |
| Conference Location: | Sherbrooke, Qc, Canada |
| Conference Date(s): | 2023-05-28 - 2023-05-31 |
| Journal Title: | Progress in Canadian Mechanical Engineering (vol. 3) |
| DOI: | 10.17118/11143/21031 |
| Official URL: | https://doi.org/10.17118/11143/21031 |
| Date Deposited: | 25 Nov 2024 10:26 |
| Last Modified: | 25 Nov 2024 10:26 |
| Cite in APA 7: | Abda, M., & Gosselin, F. (2023, May). Time-invariant hp-variational physics informed neural network to solve the pipe conveying fluid equation [Abstract]. Canadian Society for Mechanical Engineering (CSME) / Computational Fluid Dynamics Society of Canada (CFD Canada). International congress, Sherbrooke, Qc, Canada (1 page). Published in Progress in Canadian Mechanical Engineering, 3. https://doi.org/10.17118/11143/21031 |
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