Simplifying Physics-Informed Neural Networks for periodic flows - APS March 2021
APS March 2021 presentation by Gaétan Raynaud, MS student at Polytechnique Montréal with Profs. Frédérick P. Gosselin and Sébastien Houde
For more information, contact
Gaétan Raynaud at gaetan.raynaud@polymtl.ca
Prof. Frédérick Gosselin at frederick.gosselin@polymtl.ca
To learn more about Gaétan's work : https://graynaud.github.io/gh-pages/
or read our preprint on arXiv: https://arxiv.org/abs/2108.08929
Видео Simplifying Physics-Informed Neural Networks for periodic flows - APS March 2021 канала LM2PolyMtl
For more information, contact
Gaétan Raynaud at gaetan.raynaud@polymtl.ca
Prof. Frédérick Gosselin at frederick.gosselin@polymtl.ca
To learn more about Gaétan's work : https://graynaud.github.io/gh-pages/
or read our preprint on arXiv: https://arxiv.org/abs/2108.08929
Видео Simplifying Physics-Informed Neural Networks for periodic flows - APS March 2021 канала LM2PolyMtl
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