Loại tài liệu:    Chỉ tìm trong: 
41-50 trong số 119 kết quả
Coverage-Dependent Adsorption of Phenol on Pt(111) from First Principles [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 , 2019
Bộ sưu tập: Metadata
ddc:  666.9
 
Final report for U.S. Department of Energy Award DE-SC0010429 to the University of Luxembourg on Multi-scale Molecular S...
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 , 2019
Bộ sưu tập: Metadata
ddc:  666.9
 
Learning from the past [electronic resource] : Are catalyst design principles transferrable between hydrodesulfurization...
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 , 2018
Bộ sưu tập: Metadata
ddc:  621.49
 
Simulation dataset for "Chemical and Morphological Structure of Transgenic Switchgrass Organosolv Lignin Extracted by Et...
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 , 2021
Bộ sưu tập: Metadata
ddc:  620.1
 
COVID-19 Knowledge Graph -- Dataset for SMCDC 2021 Challenge 2 [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 , 2021
Bộ sưu tập: Metadata
ddc:  615.
 
Physics-Informed Machine Learning for Epidemiological Models [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 , 2020
Bộ sưu tập: Metadata
ddc:  630.95
 
Uncertainty analysis of Resource Demand Model for Covid-19 [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 , 2020
Bộ sưu tập: Metadata
ddc:  610.2
 
Morphometic Analysis of TCGA Glioblastoma Multiforme [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 , 2011
Bộ sưu tập: Metadata
ddc:  610
 
DOE SBIR Phase-1 Report on Hybrid CPU-GPU Parallel Development of the Eulerian-Lagrangian Barracuda Multiphase Program [...
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 , 2011
Bộ sưu tập: Metadata
ddc:  622.27
 
Characterisation of two-stage ignition in diesel engine-relevant thermochemical conditions using direct numerical simula...
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: Metadata
ddc:  629.2
 

Truy cập nhanh danh mục