2 citations · 2 across the 2 of their papers we have counts for
2 papers
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…
cs.DC2019
The ISTI Rapid Response on Exploring Cloud Computing 2018
Carleton Coffrin, James Arnold, Stephan Eidenbenz +45
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrati…