Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Portwood, Gavin D."'
Probabilistic neural networks for predicting energy dissipation rates in geophysical turbulent flows
Motivated by oceanographic observational datasets, we propose a probabilistic neural network (PNN) model for calculating turbulent energy dissipation rates from vertical columns of velocity and density gradients in density stratified turbulent flows.
Externí odkaz:
http://arxiv.org/abs/2112.01113
Autor:
Shankar, Varun, Portwood, Gavin D., Mohan, Arvind T., Mitra, Peetak P., Krishnamurthy, Dilip, Rackauckas, Christopher, Wilson, Lucas A., Schmidt, David P., Viswanathan, Venkatasubramanian
In fluid physics, data-driven models to enhance or accelerate solution methods are becoming increasingly popular for many application domains, such as alternatives to turbulence closures, system surrogates, or for new physics discovery. In the contex
Externí odkaz:
http://arxiv.org/abs/2110.11528
Training of deep neural networks (DNNs) frequently involves optimizing several millions or even billions of parameters. Even with modern computing architectures, the computational expense of DNN training can inhibit, for instance, network architectur
Externí odkaz:
http://arxiv.org/abs/2006.14371
We show that in addition to providing effective and competitive closures, when analysed in terms of dynamics and physically-relevant diagnostics, artificial neural networks (ANNs) can be both interpretable and provide useful insights in the on-going
Externí odkaz:
http://arxiv.org/abs/2004.07207
Autor:
Portwood, Gavin D., Mitra, Peetak P., Ribeiro, Mateus Dias, Nguyen, Tan Minh, Nadiga, Balasubramanya T., Saenz, Juan A., Chertkov, Michael, Garg, Animesh, Anandkumar, Anima, Dengel, Andreas, Baraniuk, Richard, Schmidt, David P.
Fluid turbulence is characterized by strong coupling across a broad range of scales. Furthermore, besides the usual local cascades, such coupling may extend to interactions that are non-local in scale-space. As such the computational demands associat
Externí odkaz:
http://arxiv.org/abs/1911.05180
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.