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Institution

United States Department of Energy

GovernmentWashington D.C., District of Columbia, United States
About: United States Department of Energy is a government organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Catalysis & Coal. The organization has 13656 authors who have published 14177 publications receiving 556962 citations. The organization is also known as: DOE & Department of Energy.
Topics: Catalysis, Coal, Combustion, Adsorption, Hydrogen


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new tip loss correction model is proposed to remedy the inconsistency of the existing tip loss corrections, which failed to predict correctly the physical behavior in the proximity of the tip.
Abstract: As an essential ingredient in the blade element momentum theory, the tip loss effect of rotors plays an important role in the prediction of wind turbine performance Various tip loss corrections based on the Prandtl tip loss function are analysed in the article Comparisons with measurements and theoretical analyses show that existing tip loss correction models are inconsistent and fail to predict correctly the physical behaviour in the proximity of the tip A new tip loss correction model is proposed that remedies the inconsistency Comparisons between numerical and experimental data show that the new model results in much better predictions of the loading in the tip region Copyright © 2005 John Wiley & Sons, Ltd

370 citations

Journal ArticleDOI
09 Oct 2009-Science
TL;DR: In this article, the authors propose a method to distinguish good from poor data sets by navigating through the databases to find the number and type of reads deposited in sequence trace repositories (and not all genomes have this available), or to identify the number of contigs or genome fragments deposited to the database.
Abstract: For over a decade, genome sequences have adhered to only two standards that are relied on for purposes of sequence analysis by interested third parties (1, 2). However, ongoing developments in revolutionary sequencing technologies have resulted in a redefinition of traditional whole-genome sequencing that requires reevaluation of such standards. With commercially available 454 pyrosequencing (followed by Illumina, SOLiD, and now Helicos), there has been an explosion of genomes sequenced under the moniker “draft”; however, these can be very poor quality genomes (due to inherent errors in the sequencing technologies, and the inability of assembly programs to fully address these errors). Further, one can only infer that such draft genomes may be of poor quality by navigating through the databases to find the number and type of reads deposited in sequence trace repositories (and not all genomes have this available), or to identify the number of contigs or genome fragments deposited to the database. The difficulty in assessing the quality of such deposited genomes has created some havoc for genome analysis pipelines and has contributed to many wasted hours. Exponential leaps in raw sequencing capability and greatly reduced prices have further skewed the time- and cost-ratios of draft data generation versus the painstaking process of improving and finishing a genome. The result is an ever-widening gap between drafted and finished genomes that only promises to continue (see the figure, page 236); hence, there is an urgent need to distinguish good from poor data sets.

370 citations

Journal ArticleDOI
Georges Aad1, Alexander Kupco2, Peter Davison2, Samuel Webb3  +2918 moreInstitutions (81)
TL;DR: In this paper, the ATLAS detector at the Large Hadron Collider is used to search for high-mass resonances decaying to dielectron or dimuon final states.
Abstract: The ATLAS detector at the Large Hadron Collider is used to search for high-mass resonances decaying to dielectron or dimuon final states. Results are presented from an analysis of proton-proton (pp) collisions at a center-of-mass energy of 8 TeV corresponding to an integrated luminosity of 20.3 fb(-1) in the dimuon channel. A narrow resonance with Standard Model Z couplings to fermions is excluded at 95% confidence level for masses less than 2.79 TeV in the dielectron channel, 2.53 TeV in the dimuon channel, and 2.90 TeV in the two channels combined. Limits on other model interpretations are also presented, including a grand-unification model based on the E-6 gauge group, Z* bosons, minimal Z' models, a spin-2 graviton excitation from Randall-Sundrum models, quantum black holes, and a minimal walking technicolor model with a composite Higgs boson.

364 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the distribution of natural gas hydrate accumulations, the status of the primary international RD Klauda and Sandler, 2005), reservoir lithology, and rates and their production potential.
Abstract: Toward Production From Gas Hydrates: Current Status, Assessment of Resources, and Simulation-Based Evaluation of Technology and Potential George J. Moridis, SPE, Lawrence Berkeley National Laboratory; Timothy S. Collett, SPE, US Geological Survey; Ray Boswell, US Department of Energy; M. Kurihara, SPE, Japan Oil Engineering Company; Matthew T. Reagan, SPE, Lawrence Berkeley National Laboratory; Carolyn Koh and E. Dendy Sloan, SPE, Colorado School of Mines This paper was prepared for presentation at the 2008 SPE Unconventional Reservoirs Conference held in Keystone, Colorado, U.S.A., 10–12 February 2008. Abstract Gas hydrates are a vast energy resource with global distribution in the permafrost and in the oceans. Even if conservative estimates are considered and only a small fraction is recoverable, the sheer size of the resource is so large that it demands evaluation as a potential energy source. In this review paper, we discuss the distribution of natural gas hydrate accumulations, the status of the primary international RD Klauda and Sandler, 2005). Given the sheer magnitude of the resource, ever increasing global energy demand, and the finite volume of conventional fossil fuel reserves, gas hydrates are emerging as a potential energy source for a growing number of nations. The attractive- ness of gas hydrates is further enhanced by the environmental desirability of natural gas (as opposed to solid or liquid) fuels. Thus, the appeal of gas hydrate accumulations as future hydrocarbon gas sources is rapidly increasing and their production potential clearly demands technical and economic evaluation. The past decade has seen a marked acceleration in gas hydrate RD Paull et al., 2005), reservoir lithology, and rates and

363 citations

Book
01 Jan 1997
TL;DR: In this article, a resonant response spectrum is obtained for a reference object by placing excitation and detection transducers at any accessible location on the object, and then the spectrum is analyzed to determine the number of resonance response peaks in a predetermined frequency interval.
Abstract: A resonant ultrasound spectroscopy method provides a unique characterization of an object for use in distinguishing similar objects having physical differences greater than a predetermined tolerance. A resonant response spectrum is obtained for a reference object by placing excitation and detection transducers at any accessible location on the object. The spectrum is analyzed to determine the number of resonant response peaks in a predetermined frequency interval. The distribution of the resonance frequencies is then characterized in a manner effective to form a unique signature of the object. In one characterization, a small frequency interval is defined and stepped though the spectrum frequency range. Subsequent objects are similarly characterized where the characterizations serve as signatures effective to distinguish objects that differ from the reference object by more than the predetermined tolerance.

362 citations


Authors

Showing all 13660 results

NameH-indexPapersCitations
Martin White1962038232387
Paul G. Richardson1831533155912
Jie Zhang1784857221720
Krzysztof Matyjaszewski1691431128585
Yang Gao1682047146301
David Eisenberg156697112460
Marvin Johnson1491827119520
Carlos Escobar148118495346
Joshua A. Frieman144609109562
Paul Jackson141137293464
Greg Landsberg1411709109814
J. Conway1401692105213
Pushpalatha C Bhat1391587105044
Julian Borrill139387102906
Cecilia Elena Gerber1381727106984
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202223
2021633
2020601
2019654
2018598