Simple computational strategies for more effective physics-informed neural networks modeling of turbulent natural convection

Author:

Lucor DidierORCID,Agrawal AtulORCID,Sergent AnneORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Physics and Astronomy (miscellaneous),Applied Mathematics,Computational Mathematics,Modeling and Simulation,Numerical Analysis

Reference46 articles.

1. Deep learning in fluid dynamics;Kutz;J. Fluid Mech.,2017

2. Machine learning for fluid mechanics;Brunton;Annu. Rev. Fluid Mech.,2020

3. Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding;El Garroussi;Stoch. Environ. Res. Risk Assess.,2021

4. A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping;Cheng;Math. Geosci.,2021

5. Deep Learning;Goodfellow,2016

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