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171-180 trong số 301 kết quả
Carbon Capture Multidisciplinary Simulation Center Trilab Support Team (TST) Fall Meeting 2016 Report [electronic resour...
Tác giả:
Xuất bản: Livermore, Calif : Oak Ridge, Tenn: Lawrence Livermore National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Báo, Tạp chí
ddc:  622.338
 
Analytic computation of average energy of neutrons inducing fission [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2016
Bộ sưu tập: Báo, Tạp chí
ddc:  200
 
Silicon Damage Response Function Derivation and Verification [electronic resource] : Assessment of Impact on ASTM Standa...
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2016
Bộ sưu tập: Báo, Tạp chí
ddc:  620
 
Large eddy simulation of a coaxial jet with a synthetic turbulent inlet [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. National Nuclear Security Administration ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2014
Bộ sưu tập: Báo, Tạp chí
ddc:  629.225
 
Cancer's Big Data Problem [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Báo, Tạp chí
ddc:  616.99
 
Terascale High-Fidelity Simulations of Turbulent Combustion with Detailed Chemistry [electronic resource]
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2012
Bộ sưu tập: Báo, Tạp chí
ddc: 
 
Prediction of Drug Response in Cancerous Cell Lines Using Machine Learning Algorithms [electronic resource]
Tác giả:
Xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn: Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2017
Bộ sưu tập: Báo, Tạp chí
ddc:  616.9945
 
A meta-analysis of the association between gender and protective behaviors in response to respiratory epidemics [electro...
Tác giả:
Xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn: Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2016
Bộ sưu tập: Báo, Tạp chí
ddc:  574.87
 
Argonne News Brief [electronic resource] : Cancer?s Big Data Problem
Tác giả:
Xuất bản: Washington, D.C. : Oak Ridge, Tenn: United States. Dept. of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2016
Bộ sưu tập: Báo, Tạp chí
ddc:  611.39
 
A Review of Current Machine Learning Methods Used for Cancer Recurrence Modeling and Prediction [electronic resource]
Tác giả:
Xuất bản: Los Alamos, N.M. : Oak Ridge, Tenn: Los Alamos National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy , 2016
Bộ sưu tập: Báo, Tạp chí
ddc:  571.6
 

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