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2020 – today
- 2023
[j1]Javier E. Santos
, Zachary R. Fox, Arvind Mohan, Daniel O'Malley, Hari S. Viswanathan, Nicholas Lubbers:
Development of the Senseiver for efficient field reconstruction from sparse observations. Nat. Mac. Intell. 5(11): 1317-1325 (2023)- [i3]Ajeeta Khatiwada, Marc Klasky, Marcie Lombardi, Jason Matheny, Arvind Mohan:
Machine Learning technique for isotopic determination of radioisotopes using HPGe γ-ray spectra. CoRR abs/2301.01415 (2023)
2010 – 2019
- 2019
- [i2]Carleton Coffrin, James Arnold, Stephan J. Eidenbenz, Derek Aberle, John Ambrosiano, Zachary K. Baker, Sara Brambilla, Michael J. Brown, K. Nolan Carter, Pinghan Chu, Patrick Conry, Keeley Costigan, Ariane Eberhardt, David M. Fobes, Adam Gausmann, Sean N. Harris, Donovan Heimer, Marlin Holmes, Bill Junor, Csaba Kiss, Steve Linger, Rodman R. Linn, Li-Ta Lo, Jonathan MacCarthy, Omar Marcillo, Clay McGinnis, Alexander McQuarters, Eric Michalak, Arvind Mohan, Matt Nelson, Diane Oyen, Nidhi Parikh, Donatella Pasqualini, Aaron S. Pope, Reid B. Porter, Chris Rawlings, Hannah Reinbolt, Reid D. Rivenburgh, Philip Romero, Kevin Schoonover, Alexei N. Skurikhin, Daniel R. Tauritz, Dima Tretiak, Zhehui Wang, James Wernicke, Brad Wolfe, Phillip Wolfram, Jonathan Woodring:
The ISTI Rapid Response on Exploring Cloud Computing 2018. CoRR abs/1901.01331 (2019) - 2018
- [i1]Ryan King, Oliver Hennigh, Arvind Mohan, Michael Chertkov:
From Deep to Physics-Informed Learning of Turbulence: Diagnostics. CoRR abs/1810.07785 (2018)
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