127 citations · 762 across the 47 of their papers we have counts for
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physics.comp-ph2022★ 19 cited
Towards learning Lattice Boltzmann collision operators
Alessandro Corbetta, Alessandro Gabbana, Vitaliy Gyrya +3
In this work we explore the possibility of learning from data collision operators for the Lattice Boltzmann Method using a deep learning approach. We compare a hierarchy of designs…
physics.comp-ph2022★ 2 cited
Physics-Constrained Generative Adversarial Networks for 3D Turbulence
Dima Tretiak, Arvind T. Mohan, Daniel Livescu
Generative Adversarial Networks (GANs) have received wide acclaim among the machine learning (ML) community for their ability to generate realistic 2D images. ML is being applied m…