Zobrazeno 1 - 10
of 909
pro vyhledávání: '"Thompson, Nicholas"'
Publikováno v:
In International Journal of Greenhouse Gas Control October 2024 138
Autor:
Warren, Matthew F, Pitman, Pete M, Hodgson, Dellila D, Thompson, Nicholas C, Livingston, Kimberly A
Publikováno v:
In Current Developments in Nutrition May 2024 8(5)
Autor:
Chen, Jieyang, Wan, Lipeng, Liang, Xin, Whitney, Ben, Liu, Qing, Gong, Qian, Pugmire, David, Thompson, Nicholas, Choi, Jong Youl, Wolf, Matthew, Munson, Todd, Foster, Ian, Klasky, Scott
Rapid growth in scientific data and a widening gap between computational speed and I/O bandwidth makes it increasingly infeasible to store and share all data produced by scientific simulations. Instead, we need methods for reducing data volumes: idea
Externí odkaz:
http://arxiv.org/abs/2105.12764
Autor:
Hutchinson, Jesson, Clark, Alexander R., Cutler, Theresa, Haeck, Wim, Kleedtke, Noah, Lamproe, Juliann, Neudecker, Denise, Rising, Michael, Thompson, Nicholas, Little, Robert
Publikováno v:
In Annals of Nuclear Energy January 2024 195
Autor:
Dumonteil, Eric, Bahran, Rian, Cutler, Theresa, Dechenaux, Benjamin, Grove, Travis, Hutchinson, Jesson, McKenzie, George, McSpaden, Alexander, Monange, Wilfried, Nelson, Mark, Thompson, Nicholas, Zoia, Andrea
Stochastic fluctuations of the neutron population within a nuclear reactor are typically prevented by operating the core at a sufficient power, since a deterministic behavior of the neutron population is required by automatic safety systems to detect
Externí odkaz:
http://arxiv.org/abs/2010.01176
Autor:
Chen, Jieyang, Wan, Lipeng, Liang, Xin, Whitney, Ben, Liu, Qing, Pugmire, David, Thompson, Nicholas, Wolf, Matthew, Munson, Todd, Foster, Ian, Klasky, Scott
Rapid growth in scientific data and a widening gap between computational speed and I/O bandwidth make it increasingly infeasible to store and share all data produced by scientific simulations. Instead, we need methods for reducing data volumes: ideal
Externí odkaz:
http://arxiv.org/abs/2007.04457
Autor:
Thompson, Nicholas, Maddock, John, Ostrouchov, George, Logan, Jeremy, Pugmire, David, Klasky, Scott
We present algorithms to numerically evaluate Daubechies wavelets and scaling functions to high relative accuracy. These algorithms refine the suggestion of Daubechies and Lagarias to evaluate functions defined by two-scale difference equations using
Externí odkaz:
http://arxiv.org/abs/2005.05424
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Akademický článek
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