Mean flow data assimilation based on physics-informed neural networks

JGR von Saldern, JM Reumschüssel, TL Kaiser… - Physics of …, 2022 - pubs.aip.org
Physics-informed neural networks (PINNs) can be used to solve partial differential equations
(PDEs) and identify hidden variables by incorporating the governing equations into neural …

Publisher's Note:“Mean flow data assimilation based on physics-informed neural networks”[Phys. Fluids 34, 115129 (2022)]

JGR von Saldern, JM Reumschüssel, TL Kaiser… - Physics of …, 2022 - researchgate.net
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Publisher's Note: “Mean flow data assimilation based on physics-informed neural networks” …

Mean flow data assimilation based on physics-informed neural networks

JGR von Saldern, JM Reumschüssel… - Physics of …, 2022 - ui.adsabs.harvard.edu
Physics-informed neural networks (PINNs) can be used to solve partial differential equations
(PDEs) and identify hidden variables by incorporating the governing equations into neural …

Mean flow data assimilation based on physics-informed neural networks

JGR von Saldern, JM Reumschüssel, TL Kaiser… - Physics of …, 2022 - pubs.aip.org
Physics-informed neural networks (PINNs) can be used to solve partial differential equations
(PDEs) and identify hidden variables by incorporating the governing equations into neural …

Mean flow data assimilation based on physics-informed neural networks

JGR von Saldern, JM Reumschüssel, TL Kaiser… - arXiv preprint arXiv …, 2022 - arxiv.org
Physics-informed neural networks (PINNs) can be used to solve partial differential equations
(PDEs) and identify hidden variables by incorporating the governing equations into neural …

[引用][C] Publisher's Note:" Mean flow data assimilation based on physics-informed neural networks"[Phys. Fluids 34, 115129 (2022)]

JGR von Saldern, JM Reumschüssel… - Physics of …, 2022 - ui.adsabs.harvard.edu
Publisher's Note: "Mean flow data assimilation based on physics-informed neural networks" [Phys.
Fluids 34, 115129 (2022)] - NASA/ADS Now on home page ads icon ads Enable full ADS …