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Deep learning-based fast solver of the shallow water equations


Nov 23, 2021
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve

* arXiv admin note: substantial text overlap with arXiv:2012.02620 

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Data-driven reduced order modeling of environmental hydrodynamics using deep autoencoders and neural ODEs


Jul 06, 2021
Sourav Dutta, Peter Rivera-Casillas, Orie M. Cecil, Matthew W. Farthing, Emma Perracchione, Mario Putti

* 16 pages, 7 figures, To Appear in the proceedings of the IXth International Conference on Computational Methods for Coupled Problems in Science and Engineering (COUPLED PROBLEMS 2021), 14-16 June, 2021. arXiv admin note: substantial text overlap with arXiv:2104.13962 

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Neural Ordinary Differential Equations for Data-Driven Reduced Order Modeling of Environmental Hydrodynamics


Apr 22, 2021
Sourav Dutta, Peter Rivera-Casillas, Matthew W. Farthing

* 10 pages, 6 figures, To Appear in Proceedings of AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences, March 22-24, 2021 

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Application of deep learning to large scale riverine flow velocity estimation


Dec 04, 2020
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler Hesser, Peter K. Kitanidis, Eric F. Darve


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