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211-220 trong số 303 kết quả
Efficient scalable algorithms for hierarchically semiseparable matrices [electronic resource]
Tác giả:
Xuất bản: Berkeley Calif Oak Ridge Tenn: Lawrence Berkeley National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2011
Bộ sưu tập: Metadata
ddc:  500
 
High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2018
Bộ sưu tập: Metadata
ddc:  611.39
 
Enhancing disease surveillance with novel data streams [electronic resource] : challenges and opportunities
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Science Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2015
Bộ sưu tập: Metadata
ddc:  545
 
Prediction of Drug Response in Cancerous Cell Lines Using Machine Learning Algorithms [electronic resource]
Tác giả:
Xuất bản: Los Alamos NM Oak Ridge Tenn: Los Alamos National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  616.9945
 
Optimal scheduling and its Lyapunov stability for advanced load-following energy plants with CO<sub>2</sub> ...
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy for Fossil Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  622.33
 
A comparison of simple global kinetic models for coal devolatilization with the CPD model [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States National Nuclear Security Administration Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
Bộ sưu tập: Metadata
ddc:  622.33
 
Use of Data Analytics in Advanced Alloy Development [electronic resource] : Trends and Modeling
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Office of the Assistant Secretary of Energy for Fossil Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2017
Bộ sưu tập: Metadata
ddc:  620.1
 
Google/Makani Energy Kite Modeling (CRADA CRD-18-00569 Final Report) [electronic resource]
Tác giả:
Xuất bản: Washington DC Oak Ridge Tenn: United States Dept of Energy Office of Energy Efficiency and Renewable Energy Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2021
Bộ sưu tập: Metadata
ddc:  621.45
 
The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios [electronic resource]
Tác giả:
Xuất bản: Berkeley Calif Oak Ridge Tenn: Lawrence Berkeley National Laboratory Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2010
Bộ sưu tập: Metadata
ddc:  621.47
 
An advanced joint inversion system for CO<sub>2</sub> storage modeling with large date sets for characteriza...
Tác giả:
Xuất bản: Oak Ridge Tenn: Distributed by the Office of Scientific and Technical Information US Dept of Energy, 2016
Bộ sưu tập: Metadata
ddc:  333.82
 

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