Estimating divergence‐free flows via neural networks
(2021)
Presentation / Conference Contribution
Kabanov, D. I., Espath, L., Kiessling, J., & Tempone, R. F. (2022, August). Estimating divergence‐free flows via neural networks. Presented at 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), Virtual conference
We apply neural networks to the problem of estimating divergence-free velocity flows from given sparse observations. Following the modern trend of combining data and models in physics-informed neural networks, we reconstruct the velocity flow by trai... Read More about Estimating divergence‐free flows via neural networks.