Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Dima Tretiak"'
Autor:
Tadbhagya Kumar, Pinaki Pal, Sicong Wu, A. Cody Nunno, Opeoluwa Owoyele, Michael Joly, Dima Tretiak
Publikováno v:
AIAA SCITECH 2023 Forum.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bcb27d57c535916eaa188792d17d5b8c
https://doi.org/10.2514/6.2023-1254
https://doi.org/10.2514/6.2023-1254
Publikováno v:
Journal of Turbulence. 21:484-524
Direct Numerical Simulations (DNSs) of high Reynolds number turbulent flows, encountered in engineering, earth sciences, and astrophysics, are not tractable because of the curse of dimensionality a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbd2f50ebb5bbd0936cebd344eb39717
https://doi.org/10.1080/14685248.2020.1832230
https://doi.org/10.1080/14685248.2020.1832230
Publikováno v:
Web of Science
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 more often to complex problems beyond those of computer vision. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e77c2eabe1c0528eb48e83cefa7c6d
Autor:
Jonathan Woodring, Stephan Eidenbenz, Csaba Kiss, Clay McGinnis, J. K. MacCarthy, Derek Aberle, Donatella Pasqualini, Sara Brambilla, Hannah Reinbolt, Pinghan Chu, Zachary K. Baker, Patrick Conry, Alexei N. Skurikhin, John Ambrosiano, Brad Wolfe, K. Nolan Carter, Alexander McQuarters, Marlin Holmes, Philip Romero, James Arnold, Zhehui Wang, Reid D. Rivenburgh, Steve P. Linger, Sean Harris, David Fobes, Dima Tretiak, Chris Rawlings, Ariane Eberhardt, Arvind Mohan, Phillip J. Wolfram, Bill Junor, James Wernicke, Matthew A. Nelson, Eric Michalak, Adam Gausmann, Aaron Scott Pope, Li-Ta Lo, Nidhi Parikh, Keeley R. Costigan, Omar Marcillo, Daniel R. Tauritz, Diane Oyen, Rodman R. Linn, Kevin Schoonover, Donovan Heimer, Reid B. Porter, Carleton Coffrin, Michael J. I. Brown
This report describes eighteen projects that explored how commercial cloud computing services can be utilized for scientific computation at national laboratories. These demonstrations ranged from deploying proprietary software in a cloud environment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90af425adb7add824be5acc9c4f44330
https://doi.org/10.2172/1485384
https://doi.org/10.2172/1485384